Reliability quantification of induction motors - Accelerated degradation testing approach

Research output: Contribution to journalConference article

43 Citations (Scopus)

Abstract

Characterizing life of cheap, highly reliable devices, such as small induction motors, is a challenge due to cost and time restriction. Accelerated degradation testing (ADT) provides a way to predict its life cost- and time-effectively. Having time tracking on degradation signals within relatively short test duration, the reliability can be estimated through accelerated degradation testing, even without any failures. ADT on induction motors have been conducted in the GE R&D Center to quantify the motor reliability. A new degradation index, the Orbit Area, for the induction motors is proposed, which turns out to be one of the most reliable indices for time tracking motor bearing wear. Signal processing method for extracting this degradation index from measured signals was developed. A time-to-degradation model is constructed based on the physics of failure and test observations. Maximum likelihood estimation is employed to analyze test data. The reliability of the motors is finally predicted through the obtained degradation model. Several issues regarding ADT and lessons learned also discussed in the paper.

Original languageEnglish (US)
Pages (from-to)325-331
Number of pages7
JournalProceedings of the Annual Reliability and Maintainability Symposium
StatePublished - Jan 1 2002
Externally publishedYes
EventAnnual Reliability and Maintainability Symposium, The International Symposium on Produc Quality and Integrity - Seattle, WA, United States
Duration: Jan 28 2002Jan 31 2002

Fingerprint

Induction motors
Degradation
Testing
Bearings (structural)
Maximum likelihood estimation
Costs
Signal processing
Orbits
Physics
Wear of materials

Keywords

  • Accelerated testing
  • Bearing
  • Degradation
  • Life production
  • Reliability prediction

ASJC Scopus subject areas

  • Engineering(all)
  • Engineering (miscellaneous)

Cite this

@article{792366e6b8704955a3d6d58e063e72aa,
title = "Reliability quantification of induction motors - Accelerated degradation testing approach",
abstract = "Characterizing life of cheap, highly reliable devices, such as small induction motors, is a challenge due to cost and time restriction. Accelerated degradation testing (ADT) provides a way to predict its life cost- and time-effectively. Having time tracking on degradation signals within relatively short test duration, the reliability can be estimated through accelerated degradation testing, even without any failures. ADT on induction motors have been conducted in the GE R&D Center to quantify the motor reliability. A new degradation index, the Orbit Area, for the induction motors is proposed, which turns out to be one of the most reliable indices for time tracking motor bearing wear. Signal processing method for extracting this degradation index from measured signals was developed. A time-to-degradation model is constructed based on the physics of failure and test observations. Maximum likelihood estimation is employed to analyze test data. The reliability of the motors is finally predicted through the obtained degradation model. Several issues regarding ADT and lessons learned also discussed in the paper.",
keywords = "Accelerated testing, Bearing, Degradation, Life production, Reliability prediction",
author = "Wendai Wang and {Dragomir Daescu}, {M. (Dan)}",
year = "2002",
month = "1",
day = "1",
language = "English (US)",
pages = "325--331",
journal = "Proceedings of the Annual Reliability and Maintainability Symposium",
issn = "0149-144X",

}

TY - JOUR

T1 - Reliability quantification of induction motors - Accelerated degradation testing approach

AU - Wang, Wendai

AU - Dragomir Daescu, M. (Dan)

PY - 2002/1/1

Y1 - 2002/1/1

N2 - Characterizing life of cheap, highly reliable devices, such as small induction motors, is a challenge due to cost and time restriction. Accelerated degradation testing (ADT) provides a way to predict its life cost- and time-effectively. Having time tracking on degradation signals within relatively short test duration, the reliability can be estimated through accelerated degradation testing, even without any failures. ADT on induction motors have been conducted in the GE R&D Center to quantify the motor reliability. A new degradation index, the Orbit Area, for the induction motors is proposed, which turns out to be one of the most reliable indices for time tracking motor bearing wear. Signal processing method for extracting this degradation index from measured signals was developed. A time-to-degradation model is constructed based on the physics of failure and test observations. Maximum likelihood estimation is employed to analyze test data. The reliability of the motors is finally predicted through the obtained degradation model. Several issues regarding ADT and lessons learned also discussed in the paper.

AB - Characterizing life of cheap, highly reliable devices, such as small induction motors, is a challenge due to cost and time restriction. Accelerated degradation testing (ADT) provides a way to predict its life cost- and time-effectively. Having time tracking on degradation signals within relatively short test duration, the reliability can be estimated through accelerated degradation testing, even without any failures. ADT on induction motors have been conducted in the GE R&D Center to quantify the motor reliability. A new degradation index, the Orbit Area, for the induction motors is proposed, which turns out to be one of the most reliable indices for time tracking motor bearing wear. Signal processing method for extracting this degradation index from measured signals was developed. A time-to-degradation model is constructed based on the physics of failure and test observations. Maximum likelihood estimation is employed to analyze test data. The reliability of the motors is finally predicted through the obtained degradation model. Several issues regarding ADT and lessons learned also discussed in the paper.

KW - Accelerated testing

KW - Bearing

KW - Degradation

KW - Life production

KW - Reliability prediction

UR - http://www.scopus.com/inward/record.url?scp=0036128777&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036128777&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0036128777

SP - 325

EP - 331

JO - Proceedings of the Annual Reliability and Maintainability Symposium

JF - Proceedings of the Annual Reliability and Maintainability Symposium

SN - 0149-144X

ER -