A method and system measure a characteristic of a signal under test (SUT) using a signal measurement device. The method includes receiving the SUT through first and second input channels; digitizing first and second copies of the SUT to obtain first and second digitized waveforms; repeatedly determining first and second measurement trends to obtain measurement trend pairs; cross-correlating the first and second measurement trends in each measurement trend pair to obtain cross-correlation vectors; extracting zero-displacement values from the cross-correlation vectors, respectively; summing the zero-displacement values to obtain a sum of measurement products for the measurement trend pairs; divide the sum of zero-displacement values by a total number of measurement products to obtain an average value of the measurement products, corresponding to MSV of the measured SUT characteristic; and determining a square root of the average value of the MSV to obtain an RMS value of the measured SUT characteristic.

A sensor device includes a first and second Micro-Electro-Mechanical (MEM) structures. The first MEM structure includes a first heating element on a first layer of the first MEM structure. The first heating element includes an input adapted to receive an input signal. The first MEM structure also includes a first temperature sensing element on a second layer of the first MEM structure. The second MEM structure includes a second heating element on a first layer of the second MEM structure and a second temperature sensing element on a second layer of the second MEM structure. An output circuit has a first input coupled to the first temperature sensing element and a second input coupled to the second temperature sensing element.

Disclosed are a phase current control device for a DAB converter and a method therefor. The device includes a DAB converter having at least one leg including a switching element, a phase current measuring unit for measuring a phase current for each of the legs, and a phase current phase controller for performing phase control by setting one of the phase currents of the respective legs as a reference phase current, comparing each of the other phase currents with the reference phase current to derive a phase difference for each of the phase currents, and compensating each of the phase currents for a corresponding one of the phase differences.

Disclosed are a phase current control device for a DAB converter and a method therefor. The device includes a DAB converter having at least one leg including a switching element, a phase current measuring unit for measuring a phase current for each of the legs, and a phase current phase controller for performing phase control by setting one of the phase currents of the respective legs as a reference phase current, comparing each of the other phase currents with the reference phase current to derive a phase difference for each of the phase currents, and compensating each of the phase currents for a corresponding one of the phase differences.

Systems, methods, and computer program products for sinusoidal nulling are provided. Aspects include transmitting, by a controller, an excitation signal to a first sensor, determining, by the controller, a target harmonic based at least on one or more characteristics of the excitation signal, receiving a return signal from the first sensor, sampling the return signal at a first sample rate based on the target harmonic, and adjusting a phase of the sampled return signal to null the target harmonic amplitude to form an adjusted return signal.

Systems, methods, and computer program products for sinusoidal nulling are provided. Aspects include transmitting, by a controller, an excitation signal to a first sensor, determining, by the controller, a target harmonic based at least on one or more characteristics of the excitation signal, receiving a return signal from the first sensor, sampling the return signal at a first sample rate based on the target harmonic, and adjusting a phase of the sampled return signal to null the target harmonic amplitude to form an adjusted return signal.

A sensor device includes a first and second Micro-Electro-Mechanical (MEM) structures. The first MEM structure includes a first heating element on a first layer of the first MEM structure. The first heating element includes an input adapted to receive an input signal. The first MEM structure also includes a first temperature sensing element on a second layer of the first MEM structure. The second MEM structure includes a second heating element on a first layer of the second MEM structure and a second temperature sensing element on a second layer of the second MEM structure. An output circuit has a first input coupled to the first temperature sensing element and a second input coupled to the second temperature sensing element.

Provided an apparatus that receives time series data from a data storage unit storing time series of sample data or feature values calculated from the sample data, computes a measure indicating change and repetition characteristics of the time series data, based on sample value distribution thereof, selects a state model structure to be used for model learning and estimation, from state models including a fully connected state model and a one way direction state model, based on the measure and stores the selected state model in a model storage unit.

A system and method is disclosed for detecting a specific voltage phase, from a multiphase voltage source, and a specific outlet of an intelligent power strip, that is associated with a residual current flow. The method accomplishes this by using a system that employs a statistical time series analysis using a Pearson's correlation coefficient calculation to measure the linear dependence between the discretely sampled residual current waveform and each phase and outlet's discretely sampled current waveforms, in turn. A residual current as low as 1 mA can be accurately measured and its associated voltage phase source, as well as which outlet of an intelligent power strip it flows out of, can be reliably determined.

A system and method is disclosed for detecting a specific voltage phase, from a multiphase voltage source, and a specific outlet of an intelligent power strip, that is associated with a residual current flow. The method accomplishes this by using a system that employs a statistical time series analysis using a Pearson's correlation coefficient calculation to measure the linear dependence between the discretely sampled residual current waveform and each phase and outlet's discretely sampled current waveforms, in turn. A residual current as low as 1 mA can be accurately measured and its associated voltage phase source, as well as which outlet of an intelligent power strip it flows out of, can be reliably determined.