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Proceedings Paper

Fault diagnosis method using network and fuzziness
Author(s): Tong Song; Baoqiang Song; Qiong Fu
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Paper Abstract

This paper presents the fault diagnostic method using neural network and fuzziness of sensor readings. Neural network trains the data of abnormal patterns are acquired from the fault tree. And sensor readings are processed by membership functions. In diagnosis, attaching factor is inputted in neural network, then the cause of process malfunction is inferred. A pilot plant is used to demonstrate the effectiveness of proposal method.

Paper Details

Date Published: 10 October 2000
PDF: 5 pages
Proc. SPIE 4222, Process Control and Inspection for Industry, (10 October 2000); doi: 10.1117/12.403870
Show Author Affiliations
Tong Song, Dalian Univ. of Technology (China)
Baoqiang Song, Dalian Univ. of Technology (China)
Qiong Fu, Dalian Univ. of Technology (China)

Published in SPIE Proceedings Vol. 4222:
Process Control and Inspection for Industry
Shulian Zhang; Wei Gao, Editor(s)

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