Fault Detection in Induction Motors Based on Current Signature Analysis
First Claim
1. A method for detecting faults during a steady state of an operation of an induction motor, comprising:
- measuring, in a time domain, a signal of a current powering the induction motor with a fundamental frequency;
determining, in a frequency domain, a set of frequencies with non-zero amplitudes, such that a reconstructed signal formed by the set of frequencies with non-zero amplitudes approximates the signal measured in the time domain, wherein the determining includes a compressive sensing via searching within a subband including the fundamental frequency of the signal subject to condition of a sparsity of the signal in the frequency domain; and
detecting a fault in the induction motor if the set of frequencies includes a fault frequency different from the fundamental frequency, wherein steps of the method are performed by a processor.
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Abstract
A method detects faults during a steady state of an operation of an induction motor. The method measures, in a time domain, a signal of a current powering the induction motor with a fundamental frequency and determines, in a frequency domain, a set of frequencies with non-zero amplitudes, such that a reconstructed signal formed by the set of frequencies with non-zero amplitudes approximates the signal measured in the time domain. The determining includes a compressive sensing via searching within a subband including the fundamental frequency of the signal subject to condition of a sparsity of the signal in the frequency domain. The method detects a fault in the induction motor if the set of frequencies includes a fault frequency different from the fundamental frequency.
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Citations
15 Claims
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1. A method for detecting faults during a steady state of an operation of an induction motor, comprising:
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measuring, in a time domain, a signal of a current powering the induction motor with a fundamental frequency; determining, in a frequency domain, a set of frequencies with non-zero amplitudes, such that a reconstructed signal formed by the set of frequencies with non-zero amplitudes approximates the signal measured in the time domain, wherein the determining includes a compressive sensing via searching within a subband including the fundamental frequency of the signal subject to condition of a sparsity of the signal in the frequency domain; and detecting a fault in the induction motor if the set of frequencies includes a fault frequency different from the fundamental frequency, wherein steps of the method are performed by a processor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for operating an induction motor having a stator and rotor bars, comprising:
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a power supply for powering the stator of the induction motor with a stator current having a fundamental frequency; a sensor for measuring, in a time domain, a signal of a stator current powering the induction motor, wherein the measuring includes sampling the signal for a period of time during a steady state of the operation of the induction motor with a sampling rate of at least twice of a fundamental frequency of the stator current; a processor for determining, in a frequency domain, a set of frequencies with non-zero amplitudes, such that a reconstructed signal formed by the frequencies with corresponding amplitudes approximates the signal measured in the time domain, wherein the determining includes searching within a subband including the fundamental frequency subject to condition of a sparsity of the signal in the frequency domain, and; a user interface for signaling the fault, if the set of frequencies includes a fault frequency approaching the dominant frequency. - View Dependent Claims (11, 12, 13, 14, 15)
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Specification