Fault Detection in Induction Motors Based on Current Signature Analysis

US2016266207A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016266207-A1
Application numberUS-201514642956-A
CountryUS
Kind codeA1
Filing dateMar 10, 2015
Priority dateMar 10, 2015
Publication dateSep 15, 2016
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

Claimed is: 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. 2 . The method of claim 1 , further comprising: controlling a supply of the current to the induction motor based on an outcome of detecting the fault. 3 . The method of claim 1 , further comprising: interrupting supplying the current in response to detecting the fault. 4 . The method of claim 1 , further comprising: determining a type of the fault based on an amplitude of the pair, wherein the type includes one or combination of a partial broken bar and a number of broken bars. 5 . The method of claim 4 , wherein the type of the fault is the partial broken bar if the amplitude of the fault frequency is less than a threshold. 6 . The method of claim 4 , further comprising: determining a set of thresholds, each threshold in the set corresponds to a value of the number of broken bars; and comparing the amplitude of the pair with the set of thresholds to determine the number of the broken bars. 7 . The method of claim 1 , wherein the measuring includes sampling the signal with a sampling rate of at least twice of the fundamental frequency of the signal, wherein the sampling is performed on a uniform grid to produce a set of samples for a grid of frequencies, and wherein the compressive sensing includes a high resolution off-the-grid compressive sensing including a searching for a frequency between adjacent samples on the grid of frequencies. 8 . The method of claim 1 , wherein the compressive sensing comprises: searching for the set of frequencies with non-zero amplitudes using a gradient search with atomic norm constraints representing the sparsity of the signal. 9 . The method of claim 1 , wherein the reconstructed signal is determined based on measuring the signal for a period of time less than one second. 10 . A system for operating an induction motor having a stator and rotor bars, comprising: 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. 11 . The system of claim 10 , wherein the processor compares comparing the amplitude of the fault frequency with a threshold to determine a type of the fault, and wherein the user interface renders the type. 12 . The system of claim 10 , wherein the reconstructed signal is determined based on measuring the signal for a period of time less than one second. 13 . The system of claim 10 , wherein the processor commands the power supply to interrupt supplying the current in response to detecting the fault. 14 . The system of claim 10 , wherein the sensor samples the signal on a uniform grid with a sampling rate of at least twice of the fundamental frequency of the signal to produce a set of samples for a grid of frequencies, and wherein the compressive sensing includes a high resolution off-the-grid compressive sensing including a searching for a frequency between adjacent samples on the grid of frequencies. 15 . The system of claim 10 , wherein the compressive sensing uses a gradient search with atomic norm constraints representing the sparsity of the signal.

Assignees

Inventors

Classifications

  • for electric motors with control arrangements · CPC title

  • responsive to rate of change of current, couple or speed, e.g. anti-kickback protection (H02H7/0851 takes precedence) · CPC title

  • responsive to frequency deviations · CPC title

  • in operation · CPC title

  • for dynamo-electric motors · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2016266207A1 cover?
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…
Who is the assignee on this patent?
Mitsubishi Electric Res Laboratories Inc
What technology area does this patent fall under?
Primary CPC classification G01R31/346. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Sep 15 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).