Abstract: In various examples, upon receiving data comprising a plurality of key performance indicators (KPIs), an anomaly may be detected in a first KPI. An engine may apply rules associating two or more KPIs together to confirm, reject, or narrow the anomaly in the first KPI. Through this technology, the mean time for detecting an anomaly in a network may be reduced thereby preventing the potential for more serious anomalies in the network.

Abstract: An embodiment is power module including a plurality of first switching elements of a first type semiconductor on a first substrate, a plurality of second switching elements of a second type semiconductor and a third switching element of the first type semiconductor or the second type semiconductor on a second substrate, wherein the first substrate has a different thermal conductivity than the second substrate, and a connection spacer configured to electrically connect the first substrate and the second substrate.

Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.

Abstract: A system and method of variable velocity control of an instrument by a computer-assisted device includes a computer-assisted device that includes an actuator and one or more processors. To perform an operation with an instrument coupled to the computer-assisted device, the one or more processors are configured to set a velocity set point of the actuator to an initial velocity, monitor force or torque applied by the actuator to actuate the instrument, when the applied force or torque is above a first force or torque limit, determine whether a total duration of a set of pauses occurring during the operation of the instrument is below a maximum pause threshold, and in response to determining that the total duration is below the maximum pause threshold, pause the operation of the instrument.

Abstract: Examples of the present disclosure relate to a system, method, and computer-readable medium for link anomaly detection across an inter-processor link in an infotainment system of a vehicle. In an example, the system includes a first processor, a second processor, and an inter-processor link to connect the second processor to the first processor. The system may include an anomalous detector and corrector module (ADCM) located on at least one of the first processor and the second processor, the ADCM to monitor a data exchange over the inter-processor link and initiate a correction action in response to an identification that the data exchange over the inter-processor link is anomalous.

Abstract: A prediction device includes: a normal prediction unit configured to predict first prediction values for target ranges of respective models, based on respective pieces of spatio-temporal observation data including observation values for respective observation locations and respective observation times observed for a given time period and the respective models for predicting variations of the pieces of spatio-temporal observation data for the respective target ranges defined for at least one of an observation location or a period; a residual extraction unit configured to extract, based on residuals between the respective pieces of spatio-temporal observation data being observed and the models corresponding to the respective pieces of spatio-temporal observation data based on the pieces of spatio-temporal observation data and the models, the respective pieces of spatio-temporal observation data with residuals greater than or equal to a threshold value, as spatio-temporal residual data; a residual prediction uni

Abstract: The present invention defines six unexpected benefits resulting from the automation of and improvements to inventory reconciliation and tank level monitoring at tank farms, terminals and refineries, commonly associated with refining and the transportation of, hydrocarbon fuels. In the implementation of an automated system for tank level monitoring and periodic inventory reconciliation, it has been discovered that both applications can be used to correctly identify maintenance needs and policy violations that were previously unable to be identified. The benefits include identification of thermal relief valve failure, transmix check valve failure, lock out/tag out failure, floating roof landing, and incorrect tank assignments.

Abstract: A method including: storing, in a memory, a test database, the test database including a plurality of test definitions, each test definition being associated with a respective base application feature and a respective destination application feature; detecting a request to generate a testing plan; generating the testing plan in response to the request, the testing plan being generated by using the test database, the testing plan identifying a sequence of at least some of the test definitions that are part of the test database; and outputting an indication of the testing plan for presentation to a user.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: An abnormality diagnosis method for diagnosing an abnormality in operational state of a diagnosis subject includes creating a unit space from normal operation data of the diagnosis subject, the unit space serving as a reference for determining the operational state of the diagnosis subject, acquiring data having state quantities of a plurality of evaluation items from the diagnosis subject, calculating a Mahalanobis distance of the data acquired, using the unit space created, and determining an abnormality in the operational state of the diagnosis subject based on the Mahalanobis distance calculated. The creating a unit space includes creating a plurality of unit spaces having mutually different data lengths The calculating a Mahalanobis distance includes calculating a plurality of Mahalanobis distances using the plurality of unit spaces created. The determining an abnormality includes determining an abnormality based on the plurality of Mahalanobis distances calculated.

Abstract: A fluid monitoring system is provided, which includes a control unit and at least one fluid pressure recorder. The recorder is configured for direct connection to a pipeline portion of a system to be monitored and includes upstream and downstream pressure sensors. The control unit is configured to detect, and provide for display or trigger an action, in the event that a new downstream pressure is more than a threshold number of standard deviations above or below a mean downstream pressure determined from prior readings of the downstream pressure—even though neither the minimum nor maximum pressure of the pipeline portion is reached. A fluid monitoring system for a regulator on a pipeline system is also provided.

Abstract: A method for a device, including an integrity information collecting step S10 of measuring and collecting a time consumed from a start time of one operation to an end time in a normal state of a device; a defect information collecting step S20 of measuring and collecting a time consumed from a start time of one operation to an end time in a state of a device; a setting step S30 of setting an integrity reference value and a defect reference value for the time consumed for one operation of the device; a detecting step S40 of measuring and collecting a time value consumed from a start time of an operation of the device to an end time in real time and detecting an integrity index value of the device; and an outputting step S50 of outputting the integrity index value.

Abstract: A processing device is provided which comprises memory and a processor, in communication with the memory. The processor is configured to acquire information indicating a sensory perception of a user, determine settings for one or more parameters used to control operation of the device based on the information indicating the sensory perception of the user and control the operation of the device by tuning the one or more parameters according to the determined settings.

Abstract: A continuous anomaly detection service receives data stream and performs continuous anomaly detection on the incoming data streams. This continuous anomaly detection is performed based on anomaly detection definitions, which define a signal used for anomaly detection and an anomaly detection configuration. These anomaly detection definitions can be modified, such that continuous anomaly detection continues to be performed for the data stream and the signal, based on the new anomaly detection definition.

Abstract: Apparatus and methods for measuring backlash of a drive train of an equipment unit. The drive train may comprise an input member operatively connected with an actuator and an output member operatively connected with a work portion of the equipment unit. An example apparatus may include a sensor operable to facilitate operational measurements indicative of an operational parameter associated with the drive train, and a processing device operable to cause the actuator to move the input member until the output member moves, record the operational measurements while the actuator moves the input member, and determine a backlash of the drive train by determining a difference between the operational measurements when the input member starts to move and the operational measurements when the output member starts to move.

Abstract: A method includes receiving trace sensor data associated with a first manufacturing process of a manufacturing chamber. The method further includes processing the trace sensor data by a processing device to generate summary data associated with the trace sensor data. The method further includes generating a quality index score based on the summary data. The method further includes providing an alert to a user based on the quality index score. The alert includes an indication that the manufacturing chamber performance does not meet a first threshold.

Abstract: An abnormality diagnosis device includes: a data acquirer to acquire a current waveform and a driving frequency of an electric motor; a storage which stores a combination of a current value of the current waveform and the driving frequency at an identical time by the data acquirer; a data determiner to determine whether or not a current value of the current waveform and the driving frequency as a diagnosis target at an identical time by the data acquisition match the combination stored in the storage; an analyzer to perform frequency analysis for the current waveform determined to be matched by the data determiner, to extract sideband waves, and calculate a spectrum intensity of the sideband waves; and an abnormality diagnosis processor to make a diagnosis that abnormality has occurred, when the spectrum intensity of the sideband waves is equal to or greater than a threshold.

Abstract: An information processing device according to an embodiment estimates a probability distribution of a maximum value or a minimum value of time-series target sensor data in a designated estimation period after a base time. The information processing device includes one or more hardware processors that: calculate a reference feature amount representing a feature of related sensor data at a reference time before the base time based on a preset feature amount calculation model; estimate a reference distribution parameter in a reference period based on a preset parameter estimation model; update the feature amount calculation model and the parameter estimation model; calculate an estimation feature amount representing the feature of related sensor data at the base time based on the updated feature amount calculation model; and estimate an estimation distribution parameter based on the updated parameter estimation model.

Abstract: Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.

Abstract: A feature-guided scanning trajectory optimization method for a 3D measurement robot, including: building a 3D digital model of an aircraft surface; obtaining a size of the 3D digital model; extracting features to be measured; classifying the features to be measured; calculating a geometric parameter of each type of features to be measured; generating an initial scanning trajectory of each type of features to be measured; building a constraint model of the 3D measurement robot; optimizing the initial scanning trajectory into a local optimal scanning trajectory; and planning a global optimal scanning trajectory of each type of features to be measured on the aircraft surface by using a modified ant colony optimization algorithm.

Abstract: A control system may include circuitry configured to: a deterioration level estimation unit configured to estimate deterioration levels of pumping devices based on information about driving forces of the pumping devices; a selection unit configured to select a pumping device from the pumping devices based on a comparison of the estimated deterioration levels estimated by the deterioration level estimation unit; and a pumping control unit configured to control the selected pumping device selected by the selection unit to pump fluid.

Abstract: A refuse vehicle includes multiple systems, each system including a sensor. The refuse vehicle also includes an automated check system. The automated check system includes processing circuitry configured to obtain sensor data from the sensor of each of the multiple systems, determine which of the multiple systems require manual inspection based on the sensor data, and operate a display screen to prompt a technician to manually inspect one or more of the multiple systems.

Abstract: A flame analytics system that may incorporate a burner, one or more sensors at the burner, a historical database connected to the one or more sensors, a model training module connected to the historical database, and a runtime algorithm module connected to the one or more sensors and the model training module. The runtime algorithm may compare realtime data from the one or more sensors and historical data from the model training module in accordance with a machine learning algorithm. The system may further incorporate a fault detection module connected to the runtime algorithm module, a fault diagnostics module connected to the fault detection module, and an enunciator connected to the fault detection module. The one or more sensors may also include having video or acoustic sensitivity of combustion in the burner.

Abstract: Provided is an information processing method capable of effectively utilizing a variety of types of information collected from a machine tool. The information processing method includes the step of communicating with a plurality of machine tools (S10). The plurality of machine tools each include a sensor to sense information about the machine tool as sensed information. The step of communicating (S10) includes the step of receiving as collected data from each of the plurality of machine tools part information about a part of the machine tool and the sensed information obtained by the sensor. The information processing method further includes the steps of storing in a storage unit the collected data received from each of the plurality of machine tools (S20A, S20B); and based on the plurality of collected data stored in the storage unit, learning a correlation between part information of a machine tool and sensed information obtained by the sensor internal to that machine tool (S32).

Abstract: A network traffic correlation engine monitors inbound and/or outbound connection information received from on each host computer system on a network. Each host device on the network store data logs corresponding to information corresponding to communications sent by the device and received by the device. The network traffic correlation engine correlates connections between different hosts throughout the network. If the network traffic correlation engine identified unmatched outbound and inbound connections, the network traffic correlation engine generates an alert to initiate further investigation and may also provide a mapping of the communications showing a possible start device for the connection and/or a type of access that the connections may now be providing.

Abstract: A remote monitoring system includes a plurality of data collection devices and a data aggregation device. Each data collection device acquires, from one or more installed apparatuses, a set of data including information representing at least either an operational situation or operational detail of one or more installed apparatuses. Each data collection device stores collection side definition information for extracting the apparatus data from the set of data including the apparatus data and makes a request to the data aggregation device to update the collection side definition information when a predetermined condition is satisfied. The data aggregation device stores aggregation side definition information for extracting the apparatus data from the set of data, and transmits, when the request is received from one or more of the data collection devices, information for updating based on the aggregation side definition information to the one or more of the data collection devices.

Abstract: A method collects data in a network by operation of a local sensor of a consumption meter where the network is part of a supply network. The network distributes a consumable good. The sensor has a measuring element providing raw measurement data corresponding to a physical or physicochemical value or parameter. The sensor has a wired and/or radio communication device and a memory. For the determination of the measurement resolution of the sensor the conditions for generating time stampings using a correlation model are determined in advance, on the basis of the correlation model time stampings of successive raw measurement data in the sensor are generated. The time stampings are transmitted over a wired connection and/or a radio link so that on the basis of the time stampings using the correlation model the raw measurement data collected by the measuring element are reconstructed and evaluated and used for network monitoring.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; and an anomaly detection engine including instructions encoded within the memory to instruct the processor to: periodically collect telemetry for a performance parameter; compute and maintain a local trend line for the performance parameter; receive from a cloud service a global trend line for the performance parameter for a class of devices including the computing apparatus; and perform anomaly detection including analyzing the local trend line and the global trend line to detect an anomaly.

Abstract: A biological state monitoring system (100) for monitoring a biological state of a subject on a bed (BD) over a predetermined monitoring period, includes: at least one load detector (11, 12, 13, 14) configured to detect a load of the subject on the bed; and a respiratory rate estimating unit (34) configured to successively obtain and output estimated values of a respiratory rate of the subject, based on a temporal variation of a detection value of the load detector. The monitoring period includes a body motion period in which the subject has a body motion, and a resting period in which the subject merely performs a respiration.

Abstract: Systems and methods are provided to perform PdM surveys using data acquisition units which scan screen multiple locations where equipment or structures to be evaluated are present. Video data will be acquired and processed to measure translational and vibratory motion and additional data will be collected from other camera, sensors or via data links. The motion present in the equipment or structures under test and the supplemental data will be automatically evaluated to detect suspect equipment conditions and to minimize the amount of video data maintained on the data acquisition unit and transmitted back the central PdM server for review by a PdM analyst and long term archival.

Abstract: A method and an apparatus for optimizing diagnostics of rotating equipment is provided. The apparatus includes a device for providing status information about status of the rotating equipment over a series of time windows whereby status can be derived from sensor features of at least one available sensor taking measurements during a predefinable time period, a device for using deep learning which combines provided historic sensor information with sequence of events data indicating warnings and/or alerts of the rotating equipment, whereby status information is supplemented with via deep learning predicted probabilities whether a warning and/or an alert has occurred within a time window, device for providing an amount of textual diagnostic knowledge cases, device for extracting semantic information on text features from the textual diagnostic knowledge cases, and device for combining status information and semantic information into a unified representation enabling optimization of the diagnostics.

Abstract: A method for maintenance of a machine among a fleet of machines includes receiving a service request corresponding to the machine. The method also includes obtaining a service architecture corresponding to the fleet of machines. The service architecture includes a service dictionary and a plurality of classification schemes organized in a tree data structure. The method also includes processing the service request based on the service dictionary and a text parsing technique to generate a list of descriptive words. The method includes generating a recommendation based on the list of descriptive words and the service architecture. The recommendation includes at least one of an on-line repair activity, an on-site repair activity and a part replacement activity. The method also includes servicing the fault condition of the machine based on the recommendation.

Abstract: A quality management system (QMS) contains a collection of documents and content relating to interdependent policies, processes, and procedures required for planning, manufacturing, and marketing complex products. Change management refers to the way a company manages modifications to products and processes within their business and the potential impacts of those changes. A core part of change management is to understand what may be impacted by the change, why it impacted, and how to assess and or identify the risk of the change throughout the company and quality/regulatory processes. The impact assessment is a core part of the process to ensure one does not make changes that create a product and/or process failures as well as evaluating the regulatory impact of such changes.

Abstract: Systems and methods may be provided to execute online tests of a valve in a digital valve positioner. The digital valve positioner may receive a request to execute a test of the valve, which specifies a test start point, and queue the request for execution. The digital valve positioner may subsequently receive a new setpoint for the valve. The digital valve positioner may further reposition the valve according to the new setpoint. The digital valve positioner may further, while the valve is being repositioned, compare the test start point to a current position of the valve, and in response to determining that the current position of the valve has reached the test start point, collect sensor data indicative of the operation of the valve, to generate results of the test.

Abstract: In some embodiments, a system includes an uphole processor and a tool drill string having a downhole device including a downhole processor. The uphole processor may include a memory storing instructions, the uphole processor may be communicatively coupled to the downhole processor, and the uphole processor may be configured to execute the instructions to determine a configuration setting of the system, determine whether the configuration setting indicates a trigger event has occurred, and responsive to determining the trigger event has occurred, transmit a downlink message to the downhole processor to modify an aspect of the downhole device.

Abstract: Performing in-vehicle network diagnostics is provided. A cloud system receives wiring diagnostic data from a vehicle. The wiring diagnostic data includes information with respect to electrical operation of a plurality of segments of wiring of the vehicle. A machine-learning model of the cloud system is utilized to analyze the wiring diagnostic data. Responsive to the machine-learning model identifying an issue with the electrical operation based on the wiring diagnostic data, a response is sent from the cloud system to the vehicle, the response including one or more corrective actions to be performed by the vehicle to address the issue.

Abstract: Methods and systems are provided for utilization of vehicle speed and barometric pressure sensors. In one example, a method may include measuring a change in a barometric pressure resulting from a measured change in a vehicle speed, modeling the change in the barometric pressure based on a change in a ram-air pressure resulting from the change in the vehicle speed, and indicating a degraded barometric pressure measurement when a difference between the measured and the modeled change in the barometric pressure is greater than a threshold pressure difference.

Abstract: A candidate extraction apparatus, a candidate extraction method, and a candidate extraction program extract appropriate candidates for an input into a processing module. The processing module is associated with first metadata indicating a condition of the input data. A plurality of devices are each associated with second metadata indicating an attribute of the input data output from the device. The candidate extraction apparatus includes a first obtaining unit, a second obtaining unit, and an extraction unit. The first obtaining unit obtains the first metadata. The second obtaining unit obtains the second metadata associated with each of the plurality of devices. The extraction unit extracts the candidates greater in number than at least one input port from the plurality of devices based on the first metadata and the second metadata.

Abstract: In some examples, a device can control an HVAC system within a building. The device includes a memory configured to store an actual configuration of the HVAC system and processing circuitry operably coupled to the memory. The processing circuitry is configured to determine which field wires connect a terminal to the HVAC system. The processing circuitry is further configured to determine an actual configuration of the HVAC system based on which field wires connect the terminal to the HVAC system and determine a geographic location of the HVAC controller or of the device. The processing circuitry is configured to determine that the actual configuration includes an irregularity based on the determined geographic location and generate an output in response to determining that the actual configuration includes an irregularity.

Abstract: An HVAC system includes a suction-side sensor, a liquid-side sensor, an outdoor temperature sensor, and a controller. The controller determines that initial criteria are satisfied for initiating validation of the suction-side sensor and the liquid-side sensor. After determining that the initial criteria are satisfied, a suction-side property value, liquid-side property value, and outdoor temperature value are received. The controller determines whether a first validation criteria and a second validation criteria are satisfied. If both the first validation criteria and the second validation criteria are satisfied, the suction-side sensor, the liquid-side sensor, and the outdoor temperature sensor are determined to be functioning properly. Otherwise, the controller determines which one or more of the sensors are malfunctioning.

Abstract: A method for health assessment of a system including a transport apparatus including registering predetermined operating data embodying at least one dynamic performance variable output by the transport apparatus, determining a base value (CpkBase) characterized by a probability density function of each of the dynamic performance variable output, resolving from the transport apparatus in situ process motion commands of the apparatus controller and defining another predetermined motion set of the transport apparatus, registering predetermined operating data embodying the at least one dynamic performance variable output by the transport apparatus and determining with the processor another value (CpkOther) characterized by the probability density function of each of the dynamic performance variable output by the transport apparatus, and comparing the other value and the base value (CpkBase) for each of the dynamic performance variable output by the transport apparatus respectively corresponding to the predetermin

Abstract: An ink impact point correction apparatus for automatically measuring and correcting an impact point of ink using a pattern on a substrate, on which a coordinate system is displayed, and a substrate treating system including the same are provided. The ink impact point correction apparatus includes a recognition unit for acquiring information on the impact point of ink at a plurality of points located on a substrate; and a correction unit for correcting a position of an ink discharge point on the substrate based on the information on the impact point, wherein a coordinate pattern in the form of a coordinate system is formed at the plurality of points.

Abstract: An abnormality diagnosis method for diagnosing an abnormality in equipment includes acquiring multivariate time-series data for a plurality of measurement items from the equipment, diagnosing an abnormality in operational state of the equipment based on the multivariate time-series data, and diagnosing a cause of the abnormality. The diagnosing a cause of the abnormality includes extracting a feature of a first section before the occurrence of the abnormality from the multivariate time-series data of the first section, extracting a feature of a second section after the occurrence of the abnormality from the multivariate time-series data of the second section, obtaining an amount of change in feature from a difference between the feature of the first section and the feature of the second section, and diagnosing a measurement item that is the cause of the abnormality based on the amounts of change in features of the plurality of measurement items.

Abstract: Systems, devices, and methods for testing medical devices comprising: a test device configured for testing a medical device; and a user computing device in communication with the test device, where the user computing device comprises a processor having addressable memory, where the processor is configured to: receive an ID of the medical device to be tested; select a profile associated with the received ID of the medical device; select a preset associated with the selected profile; initiate testing of the medical device by the test device; receive one or more parameter values from based on test information results from the test device; determine a test result based on pass criteria from a comparison of the received one or more parameter values to the one or more simulation parameter values of the preset.

Abstract: A driving method and a display device are disclosed. The driving method drives the display panel according to a common voltage look-up table, and the common voltage look-up table is generated by a method including: driving a preset area for display with a preset area gray-scale value; shooting the preset area and obtaining a brightness and a flicker value corresponding to the preset area; adjusting the common voltage value multiple times, and recording the common voltage value when the corresponding flicker value is the minimum as the optimal common voltage value; adjusting the preset area gray-scale value multiple times, and recording a plurality of optimal common voltage values corresponding to the adjusted preset area gray-scale values; and generating the common voltage look-up table according to the multiple preset area gray-scale values and the corresponding optimal common voltage values.

Abstract: An information processing device includes a controller configured to acquire a record of a predetermined action for maintaining a commercial value of a first vehicle by a first user who rents the first vehicle from a first service that is a vehicle rental service, and provide an incentive to the first user when the record of the predetermined action is at a level equal to or higher than a predetermined reference.

Abstract: A non-transitory memory component including software that, upon execution by a processor, perform operations to classify an activity performed by a user. First, the software receives activity data pertaining to an activity being performed by a user. The activity data may include one or more parameters associated with the activity including steps and time. Thereafter, a step rate is calculated based on the activity data, an activity is determined based on the calculated step rate, and an effort is determined in terms of cardiovascular intensity based, at least in part, on the calculated step rate. An appropriate effort threshold of determined cardiovascular intensity is identified based on oxygen uptake threshold. After, an activity type is classified using the effort and the activity.

Abstract: A predicting device, including a processor configured to: acquire displacement data that expresses a time series of displacements at respective points in time that are input to a vibration proofing member, and velocity data that expresses a time series of velocities at respective points in time that are input to the vibration proofing member; generate first load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a model that is for inferring, from the displacement data and the velocity data, load data; generate second load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a regression trained model that is for inferring, from the displacement data and the velocity data, load data; and infer load data relating to the vibration proofing member by adding together the generated first load data and the generated second load data.

Abstract: A connector detecting device for a connector includes a test vehicle, including a plurality of detecting points, to assemble with the connector; and a function module, formed an electrical connection with the test vehicle, configured to determine a conduction status between the connector and the test vehicle according to a loop of the plurality of detecting points and the connector.

Abstract: An information processing apparatus includes: a reception module configured to receive selection of an output signal corresponding to a root cause from a group including a plurality of output signals, the plurality of output signals being obtained from a plurality of devices to be managed and being obtained in a predetermined period; a replacement module configured to replace a selection result received by the reception module with a combination of the selection results in two output signals, the selection result being corresponding to the group, the two output signals being selected from the plurality of output signals; and a model generation module configured to generate a ranking model of the plurality of output signals based on the selection results after the replacement.