Patent classifications
G01R23/20
System and Method for a Dynamic Switchable Active Front End - Dynamic Switchable Active Harmonic Filtering System
A System and Method for a Dynamic Switchable Active Front End—Dynamic Switchable Active Harmonic Filtering System is disclosed.
System and Method for a Dynamic Switchable Active Front End - Dynamic Switchable Active Harmonic Filtering System
A System and Method for a Dynamic Switchable Active Front End—Dynamic Switchable Active Harmonic Filtering System is disclosed.
HARMONIC DISTORTION SEPARATION METHOD, NONLINEAR CHARACTER DETERMINATION METHOD AND APPARATUS AND SYSTEM
A harmonic distortion separation method, nonlinear character determination method, apparatus and system where a phase difference between an inherent harmonic and a generated harmonic is determined by using multiple groups of input power, output power and fundamental magnitudes of a memoryless nonlinear transfer function of a nonlinear model of a system to be measured, and power of a harmonic generated by the system to be measured is separated by using the phase difference. In an embodiment, the phase difference between the inherent harmonic and the generated harmonic is first determined by using an assumption that a model coefficient is a constant according to the set nonlinear model, then the harmonic separation is performed by using the phase difference, and the power of the harmonic generated by the system to be measured is calculated.
System and method of power grid monitoring
The application discloses a method and apparatus for determining an operational status of one or more power grid components (35) of a power grid (30). The grid components (35) have component signatures representative of the operational status of the power grid component (35). The method includes obtaining, using a monitor (20), at least one of a current waveform or a voltage waveform at a location, analyzing the obtained one of the current waveform or the voltage waveform, establishing one or more waveform data values of the waveform, accessing a database having a plurality of component signatures, and by comparison of the waveform data values with the component signatures producing one or more results representative of the operational status.
System and method of power grid monitoring
The application discloses a method and apparatus for determining an operational status of one or more power grid components (35) of a power grid (30). The grid components (35) have component signatures representative of the operational status of the power grid component (35). The method includes obtaining, using a monitor (20), at least one of a current waveform or a voltage waveform at a location, analyzing the obtained one of the current waveform or the voltage waveform, establishing one or more waveform data values of the waveform, accessing a database having a plurality of component signatures, and by comparison of the waveform data values with the component signatures producing one or more results representative of the operational status.
State change detection apparatus, method, and non-transitory medium
A state change feature value relating to power supply current waveform data is extracted, and a transition state is detected, for a section of the waveform data, based on a magnitude of a state change feature value extracted.
State change detection apparatus, method, and non-transitory medium
A state change feature value relating to power supply current waveform data is extracted, and a transition state is detected, for a section of the waveform data, based on a magnitude of a state change feature value extracted.
MULTI-BAND COMBINER WITH PIM DETECTION
For wireless cellular communications, a “smart” multi-band combiner system has a multi-band combiner and a passive inter-modulation (PIM) detection sub-system. The multi-band combiner combines multiple transmit signals in different downlink frequency bands into a single, multi-band transmit signal for transmission from a cell tower antenna. The PIM detection sub-system characterizes the frequency components in the multi-band transmit signal to predict PIM products and determine if any predicted PIM products might interfere with any receive signals in any uplink frequency bands. If so, the PIM detection sub-system generates a signal indicating the presence of such predicted interfering PIM products, and the system installer and/or the network administrator can take remedial action to prevent the PIM products from interfering with user communications.
MULTI-BAND COMBINER WITH PIM DETECTION
For wireless cellular communications, a “smart” multi-band combiner system has a multi-band combiner and a passive inter-modulation (PIM) detection sub-system. The multi-band combiner combines multiple transmit signals in different downlink frequency bands into a single, multi-band transmit signal for transmission from a cell tower antenna. The PIM detection sub-system characterizes the frequency components in the multi-band transmit signal to predict PIM products and determine if any predicted PIM products might interfere with any receive signals in any uplink frequency bands. If so, the PIM detection sub-system generates a signal indicating the presence of such predicted interfering PIM products, and the system installer and/or the network administrator can take remedial action to prevent the PIM products from interfering with user communications.
Line cycle correlated spectral analysis for power measurement systems
In one embodiment, a system and method perform a spectral analysis in a power measurement system to determine the total harmonic distortion (“THD”) in a power signal by correlating one or more THD calculation parameters to a sensed period of a voltage input signal. In at least one embodiment, the one or more THD calculation parameters are a number of samples of a voltage, current, or voltage and current components of the power signal that correlate to the sensed period. Because, for example, the period of the power signal can vary or the clock frequency can drift over time, the power measurement system correlates the number of samples with the period and, thus, varies the count of samples over which THD is calculated when the period varies. By correlating the samples with the period, the samples more closely represent a period of the sampled component of the power signal.