A Case Study for a Turbogenerator Accident Using Multiscale Association-Reference-Cited by-同舟云学术

A Case Study for a Turbogenerator Accident Using Multiscale Association

Published:2008-08-22 Issue:6 Volume:130 Page:
ISSN:0742-4795
Container-title:Journal of Engineering for Gas Turbines and Power
language:en
Short-container-title:

Author:

Yu Da-Ren¹,Wang Wei¹,Zhang Zhi-Qiang²,Hu Qing-Hua³,Zhao Xiao-Min⁴

Affiliation:

1. Department of of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, The People’s Republic of China

2. Department of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, The People’s Republic of China

3. Department of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, The People’s Republic of China

4. Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, T6G 2G7, Canada

Abstract

This paper presents a novel method of multiscale association for analyzing a turbogenerator accident having strange behaviors and serious consequence. Wave index (WI) and credibility of sensor fault are proposed based on multiscale analysis of the recorded data, and then the associational degree of WI is used to detect sensor fault. In addition, mechanism models are built to verify that detection. Furthermore, maximum likelihood method and neural network are applied to estimate the confidence interval of the fault sensor and the true signal. The estimation has been used to clearly explain the cause of this accident.

Publisher

ASME International

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering

Link

http://asmedigitalcollection.asme.org/gasturbinespower/article-pdf/doi/10.1115/1.2943149/5608008/062502_1.pdf

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