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Research Papers: Gas Turbines: Structures and Dynamics

A Case Study for a Turbogenerator Accident Using Multiscale Association

[+] Author and Article Information
Da-Ren Yu

Department of of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, The People’s Republic of Chinayudaren@hcms.hit.edu.cn

Wei Wang

Department of of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, The People’s Republic of Chinaweiwanghit@126.com

Zhi-Qiang Zhang

Department of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, The People’s Republic of Chinasunwithmoon@bit.edu.cn

Qing-Hua Hu

Department of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, The People’s Republic of Chinahuqinghua@hcms.hit.edu.cn

Xiao-Min Zhao

Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, T6G 2G7, Canadaxiaomin1@ualberta.ca

J. Eng. Gas Turbines Power 130(6), 062502 (Aug 22, 2008) (12 pages) doi:10.1115/1.2943149 History: Received January 02, 2008; Revised April 17, 2008; Published August 22, 2008

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.

Copyright © 2008 by American Society of Mechanical Engineers
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References

Figures

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Figure 8

Rotor related parameters of DAS before the accident: D

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Figure 9

Wave features of the turbine running process during phase III with multiscale decomposition

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Figure 10

Medial-scale wave feature of the turbine running process during Phase III

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Figure 11

Similarity distribution of measurement parameters

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Figure 12

Verification with mechanism of rotor stress

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Figure 13

Verification with mechanism of electric machine

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Figure 14

Multiscale structure of rotor speed estimation

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Figure 15

Curve of the idle rotor speed

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Figure 16

Comparison of the measured and the estimated rotor speed for the training samples

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Figure 17

Comparison of the measured and the estimated rotor speed for the testing samples

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Figure 18

Estimation of rotor speed

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Figure 7

Rotor related parameters of DAS before the accident: C

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Figure 6

Rotor related parameters of DAS before the accident: B

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Figure 5

Rotor related parameters of DAS before the accident: A

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Figure 4

Steam related parameters of DAS before the accident

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Figure 3

Fractional leaves of the LP rotor

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Figure 2

Front section of the LP rotor

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Figure 1

Rotor shaft structure of the turbogenerator

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