REDUNDANT SENSOR FAULT DETECTION AND SIGNAL RECONSTRUCTION BASED ON ASSOCIATED NEURAL NETWORKS

ZHANG Ying-wei; WANG Fu-li

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Volume 32 Issue 2

Apr. 2003

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INFORMATION AND CONTROL > 2003 > 32(2): 169-171.

ZHANG Ying-wei, WANG Fu-li. REDUNDANT SENSOR FAULT DETECTION AND SIGNAL RECONSTRUCTION BASED ON ASSOCIATED NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 2003, 32(2): 169-171.

Citation:

ZHANG Ying-wei, WANG Fu-li. REDUNDANT SENSOR FAULT DETECTION AND SIGNAL RECONSTRUCTION BASED ON ASSOCIATED NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 2003, 32(2): 169-171.

Citation:

ZHANG Ying-wei, WANG Fu-li. REDUNDANT SENSOR FAULT DETECTION AND SIGNAL RECONSTRUCTION BASED ON ASSOCIATED NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 2003, 32(2): 169-171.

REDUNDANT SENSOR FAULT DETECTION AND SIGNAL RECONSTRUCTION BASED ON ASSOCIATED NEURAL NETWORKS

Institute of Automation, Northeastern University, Shenyang 110004

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Received Date: July 15, 2002
Published Date: April 19, 2003

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Abstract

Abstract

This paper discusses the methods of the sensor fault detection and signal reconfiguration using associated neural networks. The first stage of the neural networks compresses redundant informations which are used to filter fault information. The second stage of the neural networks restitutes compressed non-fault information and diagnoses fault using proportion of SPE, then completes signal reconstruction using redundant informations.
- sensor fault,
- redundant informations,
- fault detection,
- signal reconstruction

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References (7)

References

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