Abstract: An electronic device is provided. The electronic device includes an inertial-measurement unit, an environmental-parameter database, and a computation unit. The inertial-measurement unit is configured to detect inertial information of the electronic device to generate sensor data. The computation unit is configured to perform pose estimation according to the sensor data to obtain a first pose. In response to the electronic device being in a non-moving state, the computation unit performs pose calibration on the first pose according to an environmental parameter in the environmental-parameter database corresponding to a current location at which the electronic device is located.

Abstract: Systems and methods for recording and communicating engine data are provided. One example aspect of the present disclosure is directed to a method for monitoring performance. The method includes receiving, by one or more computing devices, a measurement from a sensor. The method includes assigning, by the one or more computing devices, a time to the measurement. The method includes storing, by the one or more computing devices, the received measurement and the assigned time to a file. The method includes transmitting, by the one or more computing devices, the file to a remove computing device associated with a ground system.

Abstract: A dry-particulate monitoring system for a machine that distributes dry-particulate to the ground by metering product into a flowing airstream. The airstream is diverted into several tubes mounted on booms covering some horizontal distance. At the end of each tube is a deflector designed to direct the flow of material to a desired location with a particular coverage. An acoustic-based sensor of the preferred embodiment is placed on each deflector to detect material flowing through each tube or pipe or against the deflector. The information that is gathered from the sensors is sent to the dry-particulate spreader operator, who is able to view the real time operation of the dry-particulate flow. The system may be capable of detecting presence or absence of flow (i.e., blockage), or may detect variance of flow in individual pipes over time, or variances of flow between different pipes.

Abstract: In one aspect, a system for monitoring operational parameters associated with a tillage implement may include a first sensor configured to detect data indicative of a first distance between an implement frame forward of a ground engaging tool and a soil surface prior to engagement of the soil by the tool. The system may also include a second sensor configured to detect data indicative of a second distance between the frame aft of the tool and the soil surface following engagement of the soil by the tool. A controller of the system may be configured to determine a soil density change caused by engagement of the soil by the tool based on the first and second distances. Furthermore, the controller may be configured to determine a penetration depth of the tool based at least in part on the determined change in the soil density.

Abstract: A navigation system for determining quality and integrity of source information includes one or more data sources that provide the source information, a situation module that provides situation data, an information module that determines an estimate of the quality and an estimate of the integrity of the source information based on the source information and the situation data, an integrity monitor module that determines the integrity and the quality of the source information based on the estimate of the quality and the estimate of the integrity of the source information from the information module, and that validates the source information based on the integrity of the source information and/or the quality of the source information, and a navigation state estimator that determines the navigation information of the one or more objects based on the validated source information and corresponding quality of the source information received from the integrity monitor module.

Abstract: Provided is a flow meter capable of logging data more reliably. In this operation, a detection element repeatedly detects a physical quantity related to a flow rate of a fluid flowing in a pipe in a predetermined sampling cycle. Based on physical quantities, a calculation part sequentially calculates the flow rate of the fluid in the pipe. Further, a time measurement part calculates the time. A control storage part is caused to store a logging target, a logging cycle, and logging start definition information. Based on the logging start definition information, a control part automatically starts logging of the logging target in response to startup of the flow meter, and causes a log storage part to store the time measured by the time measurement part and a numerical value of the logging target in association with each other in every logging cycle.

Abstract: A method of identifying the phase composition and/or changes in the phase composition of a fluid flowing through a turbomachine includes monitoring changes in at least one electrical parameter associated with operation of the turbomachine, and employing a known correlation between phase composition and or phase composition changes, and changes in the electrical parameter(s) to associate the monitored changes with changes in the actual phase composition of the fluid.

Abstract: A measurement device includes a transmitter configured to transmit an interrogation signal. The measurement device also includes a receiver configured to receive the interrogation signal that has been reflected within a container. The received reflected interrogation signal corresponds to a fill level of the container. A protective barrier covers at least the transmitter or the receiver. If the protective barrier covers the transmitter, the transmitter transmits the interrogation signal through the protective barrier and the transmitter and the protective barrier are separated by a gap.

Abstract: A data collection system in an industrial environment includes a data collector coupled to a plurality of input channels, wherein at least one is connected to a vibration detection facility for detecting a noise pattern from a first industrial machine of a plurality of industrial machines; a data storage structured to store a plurality of noise patterns from the plurality of industrial machines in a library; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to analyze the collected data to determine if the noise pattern from the first industrial machine matches a noise pattern of a second industrial machine stored in the library, wherein if it matches an alarm condition is set to indicate the first industrial machine is experiencing a condition characteristic of the machine performance category of the second industrial machine.

Abstract: A statistical method is used to separate periodic from non-periodic vibration peaks in autocorrelation spectra. Generally, an autocorrelation spectrum is not normally distributed because the amplitudes of periodic peaks are significantly large and random relative to the generally Gaussian noise. In a normally distributed signal, the statistical parameter kurtosis has a value of 3. The method sequentially removes each largest amplitude peak from the peaks in the spectrum until the kurtosis is 3 or less. The removed peaks, which are all considered to be periodic, are placed into a set. The total energy of the peaks in the set is considered to be the total periodic energy of the spectrum. As the process of building the peak set proceeds, if its total energy becomes greater than or equal to a predefined energy threshold before its kurtosis reaches 3 or less, the process stops and the periodic peak set is defined.

Abstract: A method for eliminating motion interference includes: performing dimensionality reduction on the multi-dimensional acceleration signal to obtain a one-dimensional acceleration signal that represents motion interference; mixing the first signal and the second signal through a plurality of preset coefficients ri respectively, so as to calculate a plurality of mixed signals corresponding to the plurality of preset coefficients; calculating a correlation coefficient between each of the mixed signals and the one-dimensional acceleration signal; obtaining a preset coefficient corresponding to the maximum correlation coefficient among the correlation coefficients and a preset coefficient corresponding to the minimum correlation coefficient among the correlation coefficients; and calculating a signal with motion interference being eliminated from the measurement signal to be processed, according to the first signal, the second signal, the preset coefficient corresponding to the maximum correlation coefficient, and t

Abstract: An apparatus comprising a data acquisition tool including NMR sensors, a data acquisition processor communicatively coupled with the NMR sensors, and a first memory storing instructions that cause the data acquisition processor to perform operations comprising acquiring data of earth formation fluid, varying at least one of a magnetic field gradient and an inter-echo time, and acquiring additional data. The apparatus further comprises a data processing unit comprising a second memory storing instructions that cause the data processor to perform operations comprising receiving data acquired by the data acquisition tool, constructing a mathematical model of the data, conducting a first inversion of the mathematical model to obtain a first set of NMR responses, performing a forward model of the first set of NMR responses obtained from the first inversion, conducting a second inversion to obtain a second set of NMR responses, and determining earth formation fluid properties.

Abstract: An assessment system and method are described that capture indoor temperature measurements and corresponding outdoor temperature measurements in order to determine a thermal efficiency of a structure. The assessment system identifies quiescent periods and trims these periods to eliminate undesirable influences such as auxiliary heating or solar gain. The quiescent periods are then compared to outdoor temperature differences to determine the thermal efficiency of the structure. The system can model the structure's performance metrics, through inferred qualitative and quantitative characterizations including, but not limited to, the building's rate of temperature change as a function of internal and external temperatures, the building's heating, cooling, and other energy needs as they relate to the building envelope, appliances, and other products used at the site and occupant behavior.

Abstract: The present disclosure relates to a method for operating a measuring transducer of process automation technology, comprising at least the following steps: starting the measuring transducer by starting its operating system, wherein the operating system provides at least one interface; starting at least one interpreter, wherein the interpreter accesses the interface; and executing an extension in the interpreter. The present disclosure further relates to a measuring transducer for implementing the method.

Abstract: A system and method for monitoring disposal of wastewater in a disposal well includes: an event monitor sensor configured to identify a wastewater disposal event; and a second sensor configured to collect data about one or more characteristics of the wastewater during the wastewater disposal event. The data from the second sensor at the disposal well is analyzed to determine a classification of the wastewater, which is then reported to an operator or another interested party.

Abstract: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.

Abstract: A method for diagnosing a lack of coolant includes: (a) determining whether a target revolution per minute (RPM) of a coolant pump is set to be constantly maintained for a first time, which is preset, or more, (b) calculating an actual average RPM and an actual average driving current of the coolant pump for a second time, which is preset to be shorter than the first time, when the target RPM is set to be constantly maintained for the first time, and (c) determining whether the coolant to be supplied to the coolant pump is insufficient, based on the actual average RPM and the actual average driving current.

Abstract: Systems and methods for non-destructive inspection of curved composite laminate structures using interface guided waves. In particular, if the curved composite laminate structure has a noodle, then the noodle area may be inspected using interface guided waves. The systems and methods provide a repeatable and reliable nondestructive technique for monitoring the structural health of the noodle area of an adhesively bonded curved composite laminate structure by comparing detection data acquired from an inspected curved composite laminate structure with prediction data derived using a simulated curved composite laminate structure.

Abstract: In some embodiments, data from multiple vehicle-based natural gas leak detection survey runs are used by computer-implemented machine learning systems to generate a list of natural gas leaks ranked by hazard level. A risk model embodies training data having known hazard levels, and is used to classify newly-discovered leaks. Hazard levels may be expressed by continuous variables, and/or probabilities that a given leak fits within a predefined category of hazard (e.g. Grades 1-3). Each leak is represented by a cluster of leak indications (peaks) originating from a common leak sources. Hazard-predictive features may include maximum, minimum, mean, and/or median CH4/amplitude of aggregated leak indications; estimated leak flow rate, determined from an average of leak indications in a cluster; likelihood of leak being natural gas based on other indicator data (e.g. ethane concentration); probability the leak was detected on a given pass; and estimated distance to leak source.

Abstract: An apparatus for detecting a leak sound in plant equipment using time-frequency transformation includes a first microphone measuring an acoustic signal generated in the plant equipment, a second microphone measuring an acoustic signal generated in the plant equipment, and a leak sound detection module detecting a leak sound in the plant equipment using time-frequency transformation of the acoustic signal measured by the first microphone and the acoustic signal measured by the second microphone, wherein a leak sound may be detected even when a transient dispersive noise signal, as well as a periodic noise signal, is large.