Fault Detection and Diagnosis-A Review
Author(s):
Karan Mehta, Dinesh Kumar Sharma
Keywords:
Distributed Control System (DCS); Fault detection and diagnosis; Gas Pressure Reduction Station.
Abstract
The operation of technical processes requires increasingly advanced supervision and fault diagnosis to improve reliability, safety and economy. This paper gives an introduction to the field of fault detection and diagnosis. It begins with a consideration of a knowledge-based procedure that is based on analytical and heuristic information. Then different methods of fault detection are considered, which extract features from measured signals and use process and signal models. These methods are based on parameter estimation, state estimation and parity equations. By comparison with the normal behaviour, analytic symptoms are generated. Human operators are another source of information, and support the generation of heuristic symptoms. For fault diagnosis, all symptoms have to be processed in order to determine possible faults. This can be performed by classification methods or approximate reasoning, using probabilistic or possibility (fuzzy) approaches based on if-then-rules.
Article Details
Unique Paper ID: 144375

Publication Volume & Issue: Volume 3, Issue 11

Page(s): 27 - 32
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Last Date 25 August 2017


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