Abstract: Disclosed is a battery resistance estimation apparatus.

Abstract: An example method comprises receiving first historical meso-scale numerical weather predictions (NWP) and power flow information for a geographic distribution area, correcting for overfitting of the historical NWP predictions, reducing parameters in the first historical NWP predictions, training first power flow models using the first reduced, corrected historical NWP predictions and the historical power flow information for all or parts of the first geographic distribution area, receiving current NWP predictions for the first geographic distribution area, applying any number of first power flow models to the current NWP predictions to generate any number of power flow predictions, comparing one or more of the any number of power flow predictions to one or more first thresholds to determine significance of reverse power flows, and generating a first report including at least one prediction of the reverse power flow and identifying the first geographic distribution area.

Abstract: Described herein are techniques that facilitate the prediction of the end-of-life of a direct current (DC) motor of an apparatus. The described techniques include tracking end-of-life indicative motor-response values of a DC motor based on an applied-voltage value at its corresponding specified speed of the DC motor when the motor is engaged, in response to the determination that the tracked values exceed a range of acceptable operational values, a health-status notification regarding that DC motor is generated. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A system is provided for monitoring and protecting an electric power distribution system using intelligent electronic devices that may rely on the communication from wireless electrical measurement devices. A wireless electrical measurement device may obtain electrical measurements on a transmission line and wirelessly transmit messages containing the measurements to an intelligent electronic device. The intelligent electronic device may determine a consistency of wireless communication from the wireless electrical measurement device based at least in part on the received messages. When the wireless communication is determined to be presently consistent, the intelligent electronic device may operate in a first mode. When the wireless communication is determined not to be presently consistent, the intelligent electronic device may operate in a second mode.

Abstract: During a surveillance mode, the system receives present time-series signals gathered from sensors in the power transformer. Next, the system uses an inferential model to generate estimated values for the present time-series signals, and performs a pairwise differencing operation between actual values and the estimated values for the present time-series signals to produce residuals. The system then performs a sequential probability ratio test on the residuals to produce alarms having associated tripping frequencies (TFs). Next, the system uses a logistic-regression model to compute a risk index for the power transformer based on the TFs. If the risk index exceeds a threshold, the system generates a notification that the power transformer needs to be replaced. The system also periodically updates the logistic-regression model based on the results of periodic dissolved gas analyses for the transformer to more accurately compute the index for the power transformer.

Abstract: A forward-backward Kalman filter for estimating phase noise present in a received signal. Both the forward and backward Kalman filters use hard-decision measurements of the received symbols. The phase noise estimate from the forward Kalman filter is used as a coarse phase noise estimate for the backward Kalman filter and vice versa. The final phase noise estimate is an optimal combination of the forward phase noise estimate and backward phase noise estimate.

Abstract: A method for determining shape deviations of a real actual surface on the basis of measured vertical information of measurement points of the actual surface section is provided. Measurement points are located in a measurement-point extent section, wherein the method uses evaluation sections, which are arranged at offsets to each other and, altogether, extend over the measurement-point extent section.

Abstract: Embodiments determine anomalies in sensor data generated by a sensor. Embodiments receive a first time window of clean sensor data generated by the sensor, the clean sensor data including anomaly free data, and determine if the clean sensor data includes a cyclic pattern. When the clean sensor data has a cyclic pattern, embodiments divide the first time window into a plurality of segments of equal length, where each equal length includes the cyclic pattern. Embodiments convert the first time window and each of the plurality of segments into corresponding curves using Kernel Density Estimation (“KDE”). For each of the plurality of segments, embodiments determine a Kullback-Leibler (“KL”) divergence value between corresponding curves of the segment and the first time window to generate a plurality of KL divergence values.

Abstract: Impedance testing devices, circuits, systems, and related methods are disclosed. A Device Under Test (DUT) is excited with a multispectral excitation signal for an excitation time period while the DUT is under a load condition from a load operably coupled to the DUT. A response of the DUT is sampled over a sample time period. The sample time period is configured such that it includes an in-band interval during the excitation time period and one or more out-of-band intervals outside of the in-band interval. A response of the DUT to the load condition during the in-band interval is estimated by analyzing samples of the response from the one or more out-of-band intervals. Adjusted samples are computed by subtracting the estimated load response during the in-band interval from the samples from the in-band interval. An impedance of the DUT is estimated by analyzing the adjusted samples.

Abstract: A monitoring and/or control device for an environmental control unit such as a heat pump determines the performance status and whether maintenance is required of a component of the unit for example a compressor during operation of the component. The device includes sensors configured to be situated relative to the compressor so as to receive and signal data from the compressor during operation of the component. In some embodiments, the device includes a vibration detector and a controller coupled to the vibration detector. The controller is configured to (i) receive electrical signals from the vibration detector, (ii) compare the electrical signals to a reference signal, (iii) determine the performance characteristic of the component based on the results of the comparison, and (iv) output a signal corresponding to the performance characteristic of the component to a user display. The controller may also request maintenance and/or order parts automatically.

Abstract: In one embodiment, a method generally comprises monitoring real-time electrical data for Power Sourcing Equipment (PSE) transmitting power over a cable to a Powered Device (PD), and identifying changes in the real-time electrical data indicating strain on one or more wires in the cable due to stretching in the one or more wires.

Abstract: A power control device for controlling the supply of electricity to an electrical apparatus or system. The power control device includes a microcontroller having an operating system with a firmware component that has at least one sandboxed software plug-in slot for accepting a communications protocol software plug-in to configure the microcontroller according to the communications protocol of the communications protocol software plug-in.

Abstract: Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.

Abstract: A foot presence sensor system for an active article of footwear can include a sensor housing configured to be disposed at or in an insole of the article, and a controller circuit, disposed within the sensor housing, configured to trigger one or more automated functions of the footwear based on a foot presence indication. In an example, the sensor system includes a capacitive sensor, and the sensor is configured to sense changes in a foot proximity to the sensor in footwear. Information about the sensed proximity can be used to determine a foot velocity characteristic, which in turn can be used to update an automated footwear function, such as an automatic lacing function, or can be used to determine a step count, foot strike force, a rate of travel, or other information about a foot, about an activity, or about the footwear.

Abstract: A vibratory flowmeter (5) for meter verification is provided, including meter electronics (20) configured to vibrate the flowmeter assembly (10) in a primary vibration mode using the first and second drivers (180L, 180R), determine first and second primary mode currents (230) of the first and second drivers (180L, 180R) for the primary vibration mode and determining first and second primary mode response voltages (231) generated by the first and second pickoff sensors (170L, 170R) for the primary vibration mode, generate a meter stiffness value (216) using the first and second primary mode currents (230) and the first and second primary mode response voltages (231), and verify proper operation of the vibratory flowmeter (5) using the meter stiffness value (216).

Abstract: The invention relates to a device (6) for communicating data with a data logger (28) that measures the temperature of ambient gas and logs the temperature data into a memory (55). The device (6) includes a body (73) for mounting a data logger (28) thereon, wherein the data logger (28) is disposed inside a capsule (12, 40). The data logger (28) includes: top and bottom covers (50, 51) that define an enclosed space and includes an electrical circuit (52) disposed in the enclosed space and having a memory (55) for storing data; a pair of electrodes (71, 72) for extending through two holes (18, 32) formed in the capsule (12, 40) and contacting the top and bottom covers (50, 51) of the data logger, respectively; a processor (1001) for retrieving data stored in the memory (55) through the pair of electrodes (71, 72); and a communication device (1015) for transmitting the data.

Abstract: The accuracy of photovoltaic simulation modeling is predicated upon the selection of a type of solar resource data appropriate to the form of simulation desired. Photovoltaic power simulation requires irradiance data. Photovoltaic energy simulation requires normalized irradiation data. Normalized irradiation is not always available, such as in photovoltaic plant installations where only point measurements of irradiance are sporadically collected or even entirely absent. Normalized irradiation can be estimated through several methodologies, including assuming that normalized irradiation simply equals irradiance, directly estimating normalized irradiation, applying linear interpolation to irradiance, applying linear interpolation to clearness index values, and empirically deriving irradiance weights. The normalized irradiation can then be used to forecast photovoltaic fleet energy production.

Abstract: In an embodiment, a computer-implemented method of generating and displaying a comprehensive depiction of a weather element comprises: based on archived forecast model and observed data, training a machine learning model; calibrating current forecast data by applying the machine learning model to yield a calibrated forecast probability density function; displaying graphical representation of recently observed data and calibrated forecast probability density.

Abstract: A method of estimating a deteriorated state of a battery mounted on a vehicle includes first to third steps. The first step is a step of obtaining a voltage value and a current value of the battery a plurality of times during a data acquisition period and storing the values in a memory. The second step is a step of subjecting the voltage value and the current value during the data acquisition period stored in the memory to Fourier transform and calculating an impedance component for each frequency band based on the voltage value and the current value subjected to Fourier transform. The third step is a step of estimating high-rate deterioration of the battery by comparing a ratio E between a medium-frequency impedance ZM and a low-frequency impedance ZL2 with a reference value K.

Abstract: Systems, methods, and devices for monitoring operation of industrial equipment are disclosed. In one embodiment, a monitoring system is provided that includes a passive backplane and one more functional circuits that can couple to the backplane. Each of the functional circuits that are coupled to the backplane can have access to all data that is delivered to the backplane. Therefore, resources (e.g., computing power, or other functionality) from each functional circuits can be shared by all active functional circuits that are coupled to the backplane. Because resources from each of the functional circuits can be shared, and because the functional circuits can be detachably coupled to the backplane, performance of the monitoring systems can be tailored to specific applications. For example, processing power can be increased by coupling additional processing circuits to the backplane.