Patent classifications
G01R23/16
METHOD AND DEVICE FOR IDENTIFYING ARC FAULTS IN AN UNGROUNDED POWER SUPPLY SYSTEM
The invention relates to a method and a device for identifying arc faults in an ungrounded power supply system. This object is attained by detecting a displacement voltage to ground at an active conductor or at a neutral point of the ungrounded power supply system; by providing a value of an operating frequency occurring in the power supply system; and by analyzing a frequency spectrum of the detected displacement voltage by calculating and assessing Fourier coefficients at the locations of the operating frequency and its harmonics. Due to the broadband detection of the displacement voltage interacting with the “quick” generation of the basic functions by means of a DDS generator, arc faults can be identified reliably in an ungrounded power supply system.
METHOD AND DEVICE FOR IDENTIFYING ARC FAULTS IN AN UNGROUNDED POWER SUPPLY SYSTEM
The invention relates to a method and a device for identifying arc faults in an ungrounded power supply system. This object is attained by detecting a displacement voltage to ground at an active conductor or at a neutral point of the ungrounded power supply system; by providing a value of an operating frequency occurring in the power supply system; and by analyzing a frequency spectrum of the detected displacement voltage by calculating and assessing Fourier coefficients at the locations of the operating frequency and its harmonics. Due to the broadband detection of the displacement voltage interacting with the “quick” generation of the basic functions by means of a DDS generator, arc faults can be identified reliably in an ungrounded power supply system.
MEASURING AMPLITUDE AND PHASE RESPONSE OF MEASUREMENT INSTRUMENT WITH BINARY PHASE SHIFT KEYING TEST SIGNAL
A system and method employ an exclusive-OR gate having a first input configured to receive an RF carrier signal having an RF carrier, and a second input configured to receive a square wave signal having a square wave frequency, to output to a signal processing channel under test a binary phase shift keying (BPSK) signal comprising the RF carrier signal modulated by the square wave signal. A digital signal processor is configured to receive from the signal processing channel in-phase (I) and quadrature-phase (Q) data produced by the signal processing channel in response to the BPSK signal, and to process the I and Q data to determine an amplitude response and phase response of the signal processing channel as a function of frequency.
SLIDING WINDOW ENERGY DETECTION FOR SPECTRUM SENSING UNDER LOW SNR CONDITIONS
Methods and devices for spectrum sensing using sliding window energy detection are provided. A sliding window energy detection test having a number of continuously-performed tests can be analyzed according to a desired cumulative false alarm rate to provide a corresponding, testing threshold. Based on the testing threshold and target signal to noise ratio, a testing window length is selected such that the sliding window energy detection is performed for a minimum expected discrete detection time. A sliding window energy detector can then obtain the selected testing window length and the corresponding, testing threshold for spectrum sensing. The sliding window energy detector includes a sampling unit, a detection probability analyzer, a testing statistic generator, a false alarm analyzer, a comparing unit, and a declaring unit.
SLIDING WINDOW ENERGY DETECTION FOR SPECTRUM SENSING UNDER LOW SNR CONDITIONS
Methods and devices for spectrum sensing using sliding window energy detection are provided. A sliding window energy detection test having a number of continuously-performed tests can be analyzed according to a desired cumulative false alarm rate to provide a corresponding, testing threshold. Based on the testing threshold and target signal to noise ratio, a testing window length is selected such that the sliding window energy detection is performed for a minimum expected discrete detection time. A sliding window energy detector can then obtain the selected testing window length and the corresponding, testing threshold for spectrum sensing. The sliding window energy detector includes a sampling unit, a detection probability analyzer, a testing statistic generator, a false alarm analyzer, a comparing unit, and a declaring unit.
FREQUENCY CHARACTERISTIC MEASURING METHOD AT FEED AXIS CONTROL UNIT
A method measures a frequency characteristic at a feed axis control unit configured to drive a motor in accordance with a velocity command value to control a velocity or a position of a movable portion of a driven body. The velocity command value includes a velocity reference value from a host device or a velocity command calculator and a sweep signal swept in order to measure the frequency characteristic. The method includes moving the feed axis in one direction by commanding the velocity reference value where a moving velocity of the feed axis is constant, exciting by providing a sine wave having an amplitude less than a magnitude of the velocity reference value to the sweep signal, and measuring the frequency characteristic of a feed axis drive system including the motor.
FREQUENCY CHARACTERISTIC MEASURING METHOD AT FEED AXIS CONTROL UNIT
A method measures a frequency characteristic at a feed axis control unit configured to drive a motor in accordance with a velocity command value to control a velocity or a position of a movable portion of a driven body. The velocity command value includes a velocity reference value from a host device or a velocity command calculator and a sweep signal swept in order to measure the frequency characteristic. The method includes moving the feed axis in one direction by commanding the velocity reference value where a moving velocity of the feed axis is constant, exciting by providing a sine wave having an amplitude less than a magnitude of the velocity reference value to the sweep signal, and measuring the frequency characteristic of a feed axis drive system including the motor.
Logical triggering in the frequency domain
A frequency mask trigger capable of triggering based on a logical combination of two or more areas of a frequency mask transforms a frame of digital data representing an input signal into a frequency spectrum having a plurality of frequency bins, with each frequency bin having a power amplitude value. A frequency mask is defined having a plurality of reference power levels, one reference power level being associated with each frequency bin. Two or more areas of the frequency mask are defined, with each mask area corresponding to one or more of the frequency bins. A violation status is determined for each mask area by comparing all of the power amplitude values within each mask area to the associated reference power level. If any of the power amplitude values within the mask area violates the associated reference power level, then the entire mask area is deemed to be violated. A trigger signal is generated when a logical combination of the violation statuses of the mask areas is satisfied.
Logical triggering in the frequency domain
A frequency mask trigger capable of triggering based on a logical combination of two or more areas of a frequency mask transforms a frame of digital data representing an input signal into a frequency spectrum having a plurality of frequency bins, with each frequency bin having a power amplitude value. A frequency mask is defined having a plurality of reference power levels, one reference power level being associated with each frequency bin. Two or more areas of the frequency mask are defined, with each mask area corresponding to one or more of the frequency bins. A violation status is determined for each mask area by comparing all of the power amplitude values within each mask area to the associated reference power level. If any of the power amplitude values within the mask area violates the associated reference power level, then the entire mask area is deemed to be violated. A trigger signal is generated when a logical combination of the violation statuses of the mask areas is satisfied.
SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND STORAGE MEDIUM
A signal processing apparatus includes a unit configured to generate noise cut data by deducting a predetermined noise value from values of respective signals constituting input data and a stochastic resonance processing unit configured to subject the noise cut data to a predetermined stochastic resonance processing. The predetermined stochastic resonance processing is processing to output, in a method of synthesizing a result of parallelly performing steps of adding new noise to the noise cut data to subject the resultant data to a binary processing, a value obtained in a case where the parallel number is infinite.