Abstract: A sensor for measuring the flex of a pole when exposed to one or more forces, the sensor including at least one magnet and Hall Effect sensor combination, wherein the at least one magnet and Hall effect sensor are at a predetermined position relative to one another when there are no forces acting on the pole and which are movable relative to one another when forces act on the pole, such that a signal proportional to the relative movement is generated by the sensor.

Abstract: A sample to be measured is placed in a medium solution between two circular magnets to ensure that the sample to be measured is levitated in a set circular area between the two circular magnets, and a levitation position of the sample to be measured in the magnetic field is measured. The density of the sample is calculated according to formula (I): ? s = ? m + ? m - ? s g ? ? 0 ? ( B r ? ? B z ? r + B z ? ? B z ? z ) . Compared to the prior art, the method of the present disclosure provides a novel method for measuring a density of a substance, in which the involved device is easy to operate and has low cost, and the measurement results are easy to observe and have high accuracy.

Abstract: A method of detecting failure causes in semiconductor processing systems may include receiving an indication of a failure in a semiconductor processing system and providing the indication of the failure as a query to a network representing the semiconductor processing system. The network may include nodes representing on-wafer effects and component functions, and relationships between the nodes that represent causal dependencies between the component functions and the on-wafer effects. The method may also include calculating a change in probabilities assigned to nodes representing the component functions resulting from the query, and generating an output indicating a probability of at least one of the component functions as a cause of the failure.

Abstract: SPF (spray polyurethane foam) insulation applied in a commercial or residential building is an amazing but costly construction product. One reason is that application of SPF insulation requires large investment capital equipment and a specialized crew for each job. The work is further made difficult because determination of the performance and quality characteristics of the performed work is subjective and still dependent on only primitive tools for normal routine examination. We worked to solve this problem by designing, building, and testing a portable measurement and evaluation system capable of reading any, and all SPF substrates with reliable accuracy and repeatability. With this tool, the applicator or inspector can now efficiently and accurately determine the performance and quality characteristics of the spray foam job and make smart strategic decisions on-demand.

Abstract: A maintenance management method is capable of reducing a burden on work takeover, and is a maintenance management method related to maintenance management of a production facility related to gas or oil. In the maintenance management method, a computer acquires producer information regarding a producer that owns or manages the production facility, production facility information regarding the production facility, an inspection record in a case where inspection is performed on the production facility, and maintainer candidate information regarding a maintainer candidate that performs maintenance on the production facility. Further, the computer determines whether or not maintenance for the production facility is necessary on the basis of the inspection record, and performs control to communicate information regarding maintenance for the production facility to at least one of the producer and the maintainer candidate, when determining that maintenance is necessary.

Abstract: A transformer monitoring device has one or more voltage sensors and/or one or more current sensors integral with a housing for detecting a voltage of a power cable of a transformer. The transformer monitoring device can be configured to monitor voltage levels, and cause alerts to be issued if voltage levels drop and/or spike beyond operator-established tolerance(s).

Abstract: Provided is a battery pack in which the voltage of each battery cell is monitored using an inexpensive general-purpose microcomputer. A battery pack comprises: a plurality of battery cells connected in series; a plurality of voltage detection units which detect the voltage of each of the battery cells; and a microcomputer which measures the voltages of the battery cells from the output of each of the voltage detection units. Switch control circuits for switching on or off the outputs from the voltage detection units to the microcomputer are respectively arranged on each of the voltage detection units. Voltage divider circuits dividing the detected voltages into voltages lower than or equal to the power supply voltage of a control unit are arranged on the output sides of the voltage detection units. The microcomputer inputs the voltages divided by the voltage divider circuits and measures the voltages of the battery cells.

Abstract: A method includes: pre-processing initial data of an acquired to-be-analyzed confrontation scenario, to obtain triplet data marked in a graph data structure, inputting the triplet data into a pre-trained analyzing model, to determine a result of analysis on semantic information of the to-be-analyzed confrontation scenario; wherein the analyzing model includes a plurality of operator networks that are provided with execution priorities, wherein the plurality of operator networks are configured for analyzing relations of different types; and the processing result of any one of the operator networks includes: in the relation type corresponding to the operator network, respective true relations of all of the node pairs, and confidences and descriptive values of the true relations; and according to the graph data structure that is updated by using the processing results of all of the operator networks, characterizing the result of analysis on the semantic information of the to-be-analyzed confrontation scenario.

Abstract: A monitoring device for detecting a diagnostic state of an industrial machine on the basis of vibrations associated with the industrial machine, includes at least one measurement transducer for detecting at least one first signal characterizing the vibration of the industrial machine in a time period and for detecting at least one second signal characterizing the vibration of the industrial machine in the same time period, wherein the at least one measurement transducer has at least one signal processor for evaluating the at least first signal as a first characteristic value and for evaluating the at least second signal as a second characteristic value and wherein the at least one first characteristic value and the at least one second characteristic value form a characteristic value tuple, further having a storage unit, in which different diagnostic states describing the state of the industrial machine are saved, wherein the diagnostic states are determined as a function of the characteristic value tuple, and

Abstract: A method for performing bearing defect auto-detection provides an algorithm for processing condition monitoring data including vibration harmonics of at least one bearing coupled to a rotatable shaft, the bearing having an inner and an outer ring. The algorithm is used to confirm with high degree of confidence that a bearing defect is present or not.

Abstract: The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.

Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.

Abstract: A computer-implemented method for detecting anomalies in a plurality of sensor recordings of a technical system. The method includes: ascertaining a first anomalous value which, with regard to all sensor recordings of the plurality of sensor recordings, characterizes whether or not an anomaly is present; ascertaining a plurality of second anomalous values, each second anomalous value corresponding to a sensor recording of the plurality of sensor recordings, and with regard to the sensor recording characterizing whether or not an anomaly is present in other sensor recordings of the plurality of sensor recordings; detecting an anomaly in a sensor recording if the first anomalous value characterizes the presence of an anomaly, and the second anomalous value corresponding to the sensor recording characterizes no anomaly, and the second anomalous value differs beyond a predefined extent from other second anomalous values of the plurality of second anomalous values.

Abstract: A method for detecting a deviation in a flow meter parameter is provided. The method includes measuring a flow tube temperature in a plurality of locations; and calculating a temperature gradient based on the measured temperatures. The method also includes detecting a deviation in the flow meter parameter if the calculated temperature gradient exceeds a temperature gradient threshold.

Abstract: Device and method for analyzing time series data monitored on a machine, wherein the device segments the time series data into multiple time segments, determines a cluster of time segments estimated to have the same dynamics of the time series data, then classifies the cluster based on label information associated with at least one of the time segments, presents at least a part of the time series data of the cluster to a user if none of the time segments of the cluster has associated label information, classifies the cluster and generates label information associated with the time segments of the cluster based on a user input received in response to presentation of the time series data, where the generated label information indicates a result of classifying the cluster.

Abstract: Methods and systems for detecting outliers at a manufacturing system using machine learning are provided. Data collected by a sensors at a manufacturing system during a current process performed for a first set of substrates is provided as input to a trained machine learning model. One or more outputs are obtained from the trained machine learning model. A first amount of drift of a first set of parameter values for the first set of substrates from a target set of parameter values for the first set of substrates is extracted from the one or more outputs. A second amount of drift of each of the first set of parameter values for the first set of substrates from a corresponding parameter value of a second set of parameter values for a second set of substrates processed according to the current process at the manufacturing system prior to the performance of the current process for the first set of substrates is also extracted from the one or more outputs.

Abstract: An industrial data broker system receives contextualized industrial data from one or more industrial devices that support data modeling at the device level. The received industrial data is augmented with contextualization metadata that defines correlations between the data relevant to an analytical objective, and labels specifying analytic topics to which each data item is relevant. The broker system allows external systems, such as analytic systems, to subscribe to topics of interest, and streams a subset of contextualized device data relevant to the topic of interest to the external system for analysis.

Abstract: Disclosed is a method for processing an irradiation forecast. The method includes: acquiring irradiation forecast data corresponding to a target time period; calling a stacked generalization model including a first-layer generalizer and a second-layer generalizer; determining, using the first-layer generalizer, intermediate forecast data based on the irradiation forecast data corresponding to the target time period; and determining, using the second-layer generalizer, an output forecast value corresponding to the target time period based on the intermediate forecast data. In a technical solution according to an embodiment of the present disclosure, a method for processing an irradiation forecast is achieved.

Abstract: A method of testing a device comprises receiving signals from a device under test (DUT) and computing an eye diagram using the signals received from the DUT. The method also comprises comparing an eye height and an eye width of the eye diagram to a predetermined values of a threshold eye height and a threshold eye width. Further, responsive to a determination of the eye height and the eye width exceeding the predetermined values of the threshold eye height and the threshold eye width, flagging the DUT as passing.

Abstract: The present disclosure provides an Industrial Internet of Things system conducive to system scalability and control method thereof. The system comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform or the sensor network platform adopts independent layout. The service platform and the sensor network platform both include sub platforms and each sub platform is provided with a database, a processor, and/or an information channel. The object platform includes a production line, and the production line is configured with a plurality of sensors. In each sub platform of the sensor network platform, a same communication protocol is used with the sensors connected to a same sub platform of the sensor network platform. Any sub platform of the sensor network platform is connected with a unique sub platform of the service platform through the management platform.