Literature DB >> 17063941

Sensor fault diagnosis based on energy balance evaluation: application to a metal processing.

D Theilliol1, H Noura, D Sauter, F Hamelin.   

Abstract

This paper deals with the design of a residual generator for fault detection and isolation in the dynamic closed-loop systems based on the balance of energy which "enters" and "leaves" plants. The main contribution of this paper consists in developing a suitable fault detection and isolation technique to detect faults in single-input single-output closed-loop system based on major signals without the requirement of an accurate static or dynamic model. Indeed, in the absence of conventional input-output models, the proposed method involves the on-line energy balance evaluation to detect a sensor fault. The application to the monitoring of a galvanizing line in steel industry shows the effectiveness of the suggested approach when a sensor fault occurs.

Year:  2006        PMID: 17063941     DOI: 10.1016/s0019-0578(07)60235-3

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  1 in total

1.  An Effective and Novel Neural Network Ensemble for Shift Pattern Detection in Control Charts.

Authors:  Mahmoud Barghash
Journal:  Comput Intell Neurosci       Date:  2015-08-03
  1 in total

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