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Title: System and method for motor fault detection using stator current noise cancellation

Abstract

A system and method for detecting incipient mechanical motor faults by way of current noise cancellation is disclosed. The system includes a controller configured to detect indicia of incipient mechanical motor faults. The controller further includes a processor programmed to receive a baseline set of current data from an operating motor and define a noise component in the baseline set of current data. The processor is also programmed to acquire at least on additional set of real-time operating current data from the motor during operation, redefine the noise component present in each additional set of real-time operating current data, and remove the noise component from the operating current data in real-time to isolate any fault components present in the operating current data. The processor is then programmed to generate a fault index for the operating current data based on any isolated fault components.

Inventors:
 [1];  [2];  [3];  [4]
  1. Los Angeles, CA
  2. Kenosha, WI
  3. Menomonee Falls, WI
  4. Wauwatosa, WI
Issue Date:
Research Org.:
Eaton Corporation (Cleveland, OH)
Sponsoring Org.:
USDOE
OSTI Identifier:
1011402
Patent Number(s):
7847580
Application Number:
12/350,287
Assignee:
Eaton Corporation (Cleveland, OH)
Patent Classifications (CPCs):
G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
DOE Contract Number:  
FC36-04GO14000
Resource Type:
Patent
Country of Publication:
United States
Language:
English

Citation Formats

Zhou, Wei, Lu, Bin, Nowak, Michael P, and Dimino, Steven A. System and method for motor fault detection using stator current noise cancellation. United States: N. p., 2010. Web.
Zhou, Wei, Lu, Bin, Nowak, Michael P, & Dimino, Steven A. System and method for motor fault detection using stator current noise cancellation. United States.
Zhou, Wei, Lu, Bin, Nowak, Michael P, and Dimino, Steven A. Tue . "System and method for motor fault detection using stator current noise cancellation". United States. https://www.osti.gov/servlets/purl/1011402.
@article{osti_1011402,
title = {System and method for motor fault detection using stator current noise cancellation},
author = {Zhou, Wei and Lu, Bin and Nowak, Michael P and Dimino, Steven A},
abstractNote = {A system and method for detecting incipient mechanical motor faults by way of current noise cancellation is disclosed. The system includes a controller configured to detect indicia of incipient mechanical motor faults. The controller further includes a processor programmed to receive a baseline set of current data from an operating motor and define a noise component in the baseline set of current data. The processor is also programmed to acquire at least on additional set of real-time operating current data from the motor during operation, redefine the noise component present in each additional set of real-time operating current data, and remove the noise component from the operating current data in real-time to isolate any fault components present in the operating current data. The processor is then programmed to generate a fault index for the operating current data based on any isolated fault components.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {12}
}

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Works referenced in this record:

Incipient Bearing Fault Detection via Stator Current Noise Cancellation using Wiener Filter
conference, September 2007