Exemplary embodiments are directed to a system having a resonant cavity at least partially filled with a dielectric material. The system also includes a laser source configured to emit a laser beam through a hole in the resonant cavity. An optical sensor captures at least a portion of laser beam that as passed through resonant cavity and generates a voltage based on the captured laser beam.

A method and system are provided for anomaly detection in energy systems. Non-contact sensing of an energy system based on electric and magnetic fields uses non-contact electric- and magnetic-field sensors to produce electric- and magnetic-field signals. The electric and magnetic field signals are filtered to remove noise. Features are extracted and normalized from the magnetic and electric field signals to characterize parameters of each signal. Density-based spatial clustering of extracted features is performed using a selected minimum number of points required to form a cluster and a parameter indicating the distance within which data are considered to fall within the cluster. An anomaly is determined from data point(s) that do not fall within the cluster formed by data points in normal operation. The density-based spatial clustering of extracted features may be performed using a Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. Features may be extracted using Fourier analysis.

A method and system are provided for anomaly detection in energy systems. Non-contact sensing of an energy system based on electric and magnetic fields uses non-contact electric- and magnetic-field sensors to produce electric- and magnetic-field signals. The electric and magnetic field signals are filtered to remove noise. Features are extracted and normalized from the magnetic and electric field signals to characterize parameters of each signal. Density-based spatial clustering of extracted features is performed using a selected minimum number of points required to form a cluster and a parameter indicating the distance within which data are considered to fall within the cluster. An anomaly is determined from data point(s) that do not fall within the cluster formed by data points in normal operation. The density-based spatial clustering of extracted features may be performed using a Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. Features may be extracted using Fourier analysis.

The invention relates to a method for determining the angular offset between the rotor and the stator of an electrical machine for driving a motor vehicle, the rotor being supplied with a rotor-energizing current and voltage, the stator being supplied over three phases with stator-phase currents and voltages, wherein the method includes the following steps: verifying that the electrical machine is stopped; applying a rotor-energizing signal for an amount of time capable of causing the partial magnetization of the rotor; applying a rotor-de-energizing signal capable of causing an active and rapid demagnetization of the rotor, while measuring, during the magnetization, the stator-phase currents and maintaining zero voltage among the phases of the stator; determining the direct stator currents and quadrature stator currents corresponding to the stator-phase currents measured by applying Park and Clarke transforms and in accordance with a measurement of the electrical position of the rotor; determining the maximum values among the direct and quadrature stator currents; transmitting an angular offset fault signal if the absolute value of the maximum quadrature stator signal is greater than a threshold value; determining a correction of the angular offset in radians by calculating the tangent arc of the maximum quadrature stator current value divided by the maximum value of the direct stator current.

A measuring apparatus is provided for electrical signals. The measuring apparatus includes an analog-to-digital (A/D) converter configured to A/D-convert an analog signal to be measured, and an integrator configured to perform integration time processing for a plurality of digital values output from the A/D converter based on an integration time. The integrator is configured to output a plurality of measured values obtained by the integration time processing. A noise level calculation unit is configured to calculate a noise level of the analog signal to be measured from the plurality of measured values obtained by the integration time processing, and a display unit is configured to display noise levels corresponding to a plurality of integration times.

A harmonic-characteristics based current pattern matching method for the non-intrusive power load monitoring and disaggregation is provided in this present invention, on the basis of establishing the load signature database, which comprises electrical appliance registration and load state word space initialization, data acquisition and data preprocessing, feasible state word space search based on table looking-up, the optimal matching of current pattern, and display and output of the monitoring and disaggregation results. The method improves the accuracy of disaggregation, and can achieves exact identification of operating states of appliances, and also can reduce the cost.

According to one aspect, embodiments of the invention provide a system monitor for a load center comprising a current sensor configured to be coupled to a circuit branch within the load center and to produce a measurement signal having a level related to a current level of the circuit branch, a sensor circuit coupled to the current sensor and removably coupled to a terminal, the sensor circuit configured to provide the measurement signal to the terminal, and a controller coupled to the terminal and configured to monitor signals at the terminal, wherein the controller is further configured to detect disconnection of the current sensor from the terminal based on a signal level at the terminal.

Methods and systems for estimating arrival time of switching events include measuring two or more emission events from a device under test under different skew conditions. The two or more emission events are close in time and space when no skew condition is applied. The measured waveforms of the two or more emission events are analyzed with associated skew conditions to determine a skew value that corresponds with a time separation between the two or more emission events.

A system and method of analyzing signal performance of a hardware system includes dividing a simulation of the hardware system into a chain of blocks, identifying resonant loops between pairs of blocks in the chain of blocks, determining a loop response for each of the identified resonant loops, and determining an impact of each loop response on a performance of the system.

A system and method of analyzing signal performance of a hardware system includes dividing a simulation of the hardware system into a chain of blocks, identifying resonant loops between pairs of blocks in the chain of blocks, determining a loop response for each of the identified resonant loops, and determining an impact of each loop response on a performance of the system.