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Title: Online Monitoring of Induction Motors

Abstract

The online monitoring of active components project, under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program, researched diagnostic and prognostic models for alternating current induction motors (IM). Idaho National Laboratory (INL) worked with the Electric Power Research Institute (EPRI) to augment and revise the fault signatures previously implemented in the Asset Fault Signature Database of EPRI’s Fleet Wide Prognostic and Health Management (FW PHM) Suite software. Induction Motor diagnostic models were researched using the experimental data collected by Idaho State University. Prognostic models were explored in the set of literature and through a limited experiment with 40HP to seek the Remaining Useful Life Database of the FW PHM Suite.

Authors:
 [1];  [1];  [1]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1239881
Report Number(s):
INL/EXT-15-36681
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; Diagnosis; Fault Signatures; Fleet-Wide Prognostics and Health Management Softw; Induction Motors

Citation Formats

McJunkin, Timothy R., Agarwal, Vivek, and Lybeck, Nancy Jean. Online Monitoring of Induction Motors. United States: N. p., 2016. Web. doi:10.2172/1239881.
McJunkin, Timothy R., Agarwal, Vivek, & Lybeck, Nancy Jean. Online Monitoring of Induction Motors. United States. https://doi.org/10.2172/1239881
McJunkin, Timothy R., Agarwal, Vivek, and Lybeck, Nancy Jean. 2016. "Online Monitoring of Induction Motors". United States. https://doi.org/10.2172/1239881. https://www.osti.gov/servlets/purl/1239881.
@article{osti_1239881,
title = {Online Monitoring of Induction Motors},
author = {McJunkin, Timothy R. and Agarwal, Vivek and Lybeck, Nancy Jean},
abstractNote = {The online monitoring of active components project, under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability Program, researched diagnostic and prognostic models for alternating current induction motors (IM). Idaho National Laboratory (INL) worked with the Electric Power Research Institute (EPRI) to augment and revise the fault signatures previously implemented in the Asset Fault Signature Database of EPRI’s Fleet Wide Prognostic and Health Management (FW PHM) Suite software. Induction Motor diagnostic models were researched using the experimental data collected by Idaho State University. Prognostic models were explored in the set of literature and through a limited experiment with 40HP to seek the Remaining Useful Life Database of the FW PHM Suite.},
doi = {10.2172/1239881},
url = {https://www.osti.gov/biblio/1239881}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2016},
month = {Fri Jan 01 00:00:00 EST 2016}
}