Abstract: A system and method model a time series from missing data by imputing missing values, denoising measured but noisy values, and forecasting future values of a single time series. A time series of potentially noisy, partially-measured values of a physical process is represented as a non-overlapping matrix. For several classes of common model functions, it can be proved that the resulting matrix has a low rank or approximately low rank, allowing a matrix estimation technique, for example singular value thresholding, to be efficiently applied. Applying such a technique produces a mean matrix that estimates latent values, of the physical process at times or intervals corresponding to measurements, with less error than previously known methods. These latent values have been denoised (if noisy) and imputed (if missing). Linear regression of the estimated latent values permits forecasting with an error that decreases as more measurements are made.

Abstract: A method and apparatus are for movement analysis. The apparatus and method receive acceleration data from an accelerometer (or measurements from other motion sensors) that is carried by a user. The acceleration data is divided into epochs and a determination is made as to whether the user is walking or running within each epoch. Consecutive epochs in which the user is found to be walking may be concatenated to determine periods of time during which the user is walking or running. An initial estimate of the time that the user starts to walk or run and stops walking or running are determined for each period of walking. An iterative optimization process is then performed to determine accurate start and stop times for the period of walking or running.

Abstract: In some embodiments, a method of correcting for errors in a rotational position sensor having a sine signal and a cosine signal is presented. The method includes compiling data from the sine signal and the cosine signal over a period of rotation of a motor shaft; determining offset correction parameters from the data; correcting the data with the offset correction parameters; determining amplitude difference parameters from the data; correcting the data with the amplitude difference parameters; determining phase difference parameters from the data; correcting the data with the phase difference parameters; and using the offset correction parameters, the amplitude difference parameters, and the phase difference parameters to correct the sine signal and the cosine signal.

Abstract: Systems, devices and methods for bearing analysis in an industrial environment are disclosed. A data acquisition circuit structured to interpret a plurality of detection values corresponding to a plurality of input sensors coupled to the data acquisition circuit, a data storage for storing specifications and anticipated state information for a plurality of bearing types and buffering the plurality of detection values for a predetermined length of time, and a bearing analysis circuit to analyze buffered detection values relative to specifications and anticipated state information resulting in at least one bearing parameter are described. Analysis may include filtering the detection values through a high pass filter, identifying rapid changes in detection values, identifying frequencies at which spikes occur and comparing frequencies and spikes in amplitude relative to an anticipated state information and specification.

Abstract: A monitoring system for data collection related to a production line of an industrial environment includes a data storage structured to store a plurality of data collection templates, each of the plurality of data collection templates comprising a data collection routine; a data collector structured to interpret a plurality of detection values that correspond to a plurality of input channels, wherein the plurality of detection values are obtained according to a data collection routine corresponding to a selected one of the plurality of data collection templates; wherein the data storage is further structured to store at least a portion of the plurality of detection values; a data analysis circuit structured to interpret at least a subset of the detection values to determine a state value corresponding to one of a process or a component of the production line; and an expert system circuit structured to perform a data collection modification by performing one of: adjusting the data collection routine correspond

Abstract: Example implementations described herein are directed to systems and methods for extracting signal in the presence of noise for industrial IoT systems. Through the example implementations described herein, the high-frequency band signal of the sensor output can be maintained despite data compression, while also retaining information regarding the condition of the machine. Example implementations can also generate compressed data pairs to synchronized downsampled envelopes and spectrum data.

Abstract: A change in geoid height is measured easily. A geoid measurement method of the present invention executes an inertial measurement data acquiring step, a comparison data acquiring step, a state variable estimating step, and a geoid calculating step. In the inertial measurement data acquiring step, data related to velocity, position, and attitude angle is acquired as inertially-derived data based on the output of an inertial measurement part having a three-axis gyro and a three-axis accelerometer attached to a moving body. In the comparison data acquiring step, data related to velocity is acquired as comparison data from a source other than the inertial measurement part. In the state variable estimating step, state variables including a plumb line deviation are estimated by using the inertially-derived data and the comparison data to apply a Kalman filter in which the plumb line deviation is included in the state variables.

Abstract: An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of analog sensors to collect data, a data storage structured to store a plurality of data collection management plans comprising template data collection routines for collection of data, 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 and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of analog sensors.

Abstract: Systems, methods, and processing nodes predicting and perform preventive maintenance in a transportation system. Predicting and performing preventive maintenance in a transportation system includes determining historical data for electronic devices in the transportation system. Predicting and performing preventive maintenance also includes determining dependencies of the electronic devices based on the historical data. Predicting and performing preventive maintenance includes determining a likelihood of a fault in the target electronic device during a time period based on the dependencies of the electronic devices and a mutual probability of failure of the target electronic device and parent electronic devices associated with the target electronic device. Predicting and performing preventive maintenance also includes initiating preemptive maintenance on the target electronic device based on the likelihood of the fault.

Abstract: A method for scanning a location, including the following features: an ego velocity is measured at predefined points in time, and a counter is incremented as a function of the ego velocity, and as soon as the counter reaches a predefined threshold value, the location is determined.

Abstract: Apparatus including circuitry configured to: acquire correlation signals by correlating a photodetected signal with respective phase-shifted reference signals, the correlation signals comprising quadrature correlation signals and in-phase correlation signals. The circuitry is configured in such a way that the mean time of acquisition of the quadrature correlation signals and the mean time of acquisition of the in-phase correlation signals are substantially equal.

Abstract: A method for calibrating a position measurement system includes receiving measurement data from the position measurement system and determining that the measurement data includes periodic distortion data. The position measurement system includes a nonius track and a master track. The method also includes modifying the measurement data by decomposing the periodic distortion data into periodic components and removing the periodic components from the measurement data.

Abstract: Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels, wherein at least one input channel is connected to a high data rate source; a data storage structured to store detection parameters for the plurality of input channels, wherein a high data rate detection parameter is stored, wherein the high data rate detection parameter comprises at least a portion of data from the high data rate source; a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint of the monitoring system with respect to the high data rate detection parameter; and a response circuit structured to adjust a data selection parameter to thereby adjust a data volume handled by the monitoring system in response to the data handling constraint.

Abstract: A computer-implemented method for providing an agricultural recommendation based on environmental matching includes collecting an underlying environmental characteristic corresponding to an agricultural environment, generating matches of the agricultural environment to a trials; and determining the recommendation based on the matches. A computing system includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the computing system to collect an environmental characteristic corresponding to an agricultural environment, generate matches of the agricultural environment to trials; and determine the recommendation based on the matches. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to collect an environmental characteristic corresponding to an agricultural environment, generate matches of the agricultural environment to trials; and determine the recommendation based on the matches.

Abstract: An apparatus, methods and systems for network-sensitive data collection related to a process in an industrial environment are disclosed. The system can include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, each of the plurality of input channels communicatively coupled to at least one sensor of the industrial environment, a data storage circuit structured to store a plurality of collector routes and wherein the data collector receives collected data from the plurality of input channels utilizing a collector route, a data analysis circuit structured to determine a data collection quality parameter and interpret the collected data to determine a state value of the industrial environment and an analysis response circuit structured to adjust the selected one of the plurality of collector routes in response to one of the data collection quality parameter or the state value of the industrial environment.

Abstract: A method (400) of measuring rotor blade tip deflections of turbomachine rotor blades (R1, R2) during operation using Blade Tip Timing (BTT) includes measuring (402), by a proximity sensor (202), a proximity signal caused by a moving rotor blade (R1, R2) and determining (412), by a control module (212), a Time-of-Arrival (ToA). The method (400) includes measuring a time that the shaft starts to rotate a measurable angular distance and a time the shaft has completed its rotation of the measurable distance and storing (406) timing data indicative of a plurality of ToA measurements of the rotor blade (R1, R2) and the zero crossing times.

Abstract: A method of identifying a fault in a system of gears in a wind turbine is provided. The method determines two or more centre harmonic frequency amplitudes according to vibrations of the system of gears and determines a plurality of sideband amplitudes of each of the centre harmonic frequency amplitudes. Further, the method sums the centre harmonic frequency amplitudes to calculate a total centre harmonic frequency amplitude and sums each of the sideband amplitudes of the centre harmonic frequency amplitudes to calculate a total sideband amplitude. The method then determines a value indicative of damage incurred by the system of gears based upon the first centre harmonic frequency amplitude and the average sideband amplitude.

Abstract: A sensor unit, a control method, and a recording medium are provided for reducing data amount of failure diagnosis data while detecting a failure of a device performing work while moving more reliably. The disclosure includes an output limiting part outputting the failure diagnosis data only for a period in which an absolute value of the acceleration is equal to or less than a predetermined threshold.

Abstract: This disclosure relates to systems, media, and methods for quantifying and monitoring exercise parameters and/or motion parameters, including performing data acquisition, analysis, and providing scientifically valid, clinically relevant, and/or actionable diagnostic feedback. Embodiments may be related to systems, devices, methods, and computer-readable media for providing baseline-adjusted real-time feedback to a user. Embodiments may include determining a type of activity for the user. Embodiment may include receiving data from the one or more motion sensors indicating a time-dependent series of three axis acceleration data and three-axis orientation data. Embodiments additionally may include providing a graphical user interface with a real-time representation of the received data.

Abstract: A monitoring system for monitoring an escalator is provided including: a local gateway device; and a sensing apparatus in wireless communication with the local gateway device through a short-range wireless protocol, the sensing apparatus including: a frequency detection device configured to detect frequency data of the escalator, wherein the sensing apparatus is configured to obtain a specific frequency of a component of the escalator and detect at least one of a change in the specific frequency of the component to a sub-frequency, a direction shift of the specific frequency of the component, and a change in a harmonics of the specific frequency of the component in response to the frequency data.