Detection of an abnormal signal in a compound sampled signal
First Claim
1. A computer-implemented method of detecting an origin of a fault signal caused by a fault in a vehicle, comprising:
- receiving, via a recorder, a compound sampled signal recorded in a time domain, wherein the compound signal includes the fault signal;
identifying, via a computer processor, the fault signal in the compound sampled signal, wherein the fault signal is identified based at least in part on a deviation ratio of an amplitude of a frequency point of the compound sampled signal in a frequency domain with a mean value of amplitude of all frequency points of the compound sampled signal in the frequency domain, wherein the frequency domain corresponds to a segment in the time domain;
playing the corresponding segment of the time domain that corresponds to a segment of the frequency domain having the identified fault signal to a user or a driver who confirms the identified fault signal is attributable to the fault in the vehicle;
extracting the confirmed identified fault signal from the compound sampled signal with the processor by removing frequency points with little or no deviation from the mean value;
comparing, via the computer processor, the confirmed fault signal with a library of predetermined fault signals; and
determining, via the computer processor, an origin of the fault signal.
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Accused Products
Abstract
A technique detects an abnormal signal in a compound sampled signal recorded in the time domain. The technique involves dividing the sampled signal recorded in the time domain into sample segments; transforming each of the sample segments from the time domain into the frequency domain to determine transformed segments, each transformed segment having frequency points, each frequency point having an amplitude associated with a certain frequency; for a frequency point in a given transformed segment, determining a ratio by dividing the amplitude of the frequency point by a value indicative of an average of the amplitudes of the frequency points at the same frequency across transformed segments; repeating the determination of a ratio for frequency points in each transformed segment to determine ratios for each transformed segment; repeating the determination of ratios for transformed segments; and using the ratios to detect the abnormal signal in the compound sampled signal.
6 Citations
20 Claims
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1. A computer-implemented method of detecting an origin of a fault signal caused by a fault in a vehicle, comprising:
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receiving, via a recorder, a compound sampled signal recorded in a time domain, wherein the compound signal includes the fault signal; identifying, via a computer processor, the fault signal in the compound sampled signal, wherein the fault signal is identified based at least in part on a deviation ratio of an amplitude of a frequency point of the compound sampled signal in a frequency domain with a mean value of amplitude of all frequency points of the compound sampled signal in the frequency domain, wherein the frequency domain corresponds to a segment in the time domain; playing the corresponding segment of the time domain that corresponds to a segment of the frequency domain having the identified fault signal to a user or a driver who confirms the identified fault signal is attributable to the fault in the vehicle; extracting the confirmed identified fault signal from the compound sampled signal with the processor by removing frequency points with little or no deviation from the mean value; comparing, via the computer processor, the confirmed fault signal with a library of predetermined fault signals; and determining, via the computer processor, an origin of the fault signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A non-transitory computer readable medium storing computer readable instructions configured to cause a computer to:
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receive a compound sampled signal recorded in a time domain, wherein the compound sampled signal includes a fault signal caused by a fault in a vehicle; identify the fault signal in the compound sampled signal, wherein the fault signal is identified based at least in part on a deviation ratio of an amplitude of a frequency point of the compound sampled signal in frequency domain with a mean value of amplitude of all frequency points of the compound sampled signal in the frequency domain; play the corresponding segment of the time domain that corresponds to a segment of the frequency domain having the identified fault signal to a user or a driver who confirms the identified fault signal is attributable to the fault in the vehicle; extract the confirmed identified fault signal from the compound sampled signal by removing frequency points with little or no deviation from the mean value; compare the confirmed identified fault signal with a library of predetermined faults signals; and determine an origin of the fault signal.
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20. A computer apparatus for detecting an origin of a fault signal, comprising:
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a memory storing processor readable instructions; and a processor that reads and executes the processor readable instructions stored in the memory; wherein the processor readable instructions include instructions configured to cause the processor to; receive a compound sampled signal recorded in a time domain, wherein the compound sampled signal includes the fault signal caused by a fault in a vehicle; identify the fault signal in the compound sampled signal, wherein the fault signal is identified based at least in part on a deviation ratio of an amplitude of a frequency point of the compound sampled signal in a frequency domain with a mean value of amplitude of all frequency points of the compound sampled signal in the frequency domain; play the corresponding segment of the time domain that corresponds to a segment of the frequency domain having the identified fault signal to a user or a driver who confirms the identified fault signal is attributable to the fault in the vehicle; extract the confirmed identified fault signal from the compound sampled signal by removing frequency points with little or no deviation from the mean value; compare the confirmed identified fault signal with a library of predetermined faults signals; and determine an origin of the fault signal.
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Specification