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Title: A generic fault propagation modeling approach to on-line diagnosis and event correlation
Author: Stanley, GM; Vaidhyanathan, R
Abstract: CDG (Causal Directed Graph) provides a methodology and framework for real-time fault management in large-scale systems, addressing the full life cycle of problem identification based on symptoms, diagnostic testing, and fault isolation, through recovery, as well as protecting the operator from "alarm flooding". It is based on generic fault propagation models, tied to an object-oriented domain representation and scalable algorithms. CDG combines the generality of FMEA models with on-line, asynchronous event correlation and diagnosis. The architecture of CDG is described and the modeling approach is discussed with examples. Event correlation and interactive diagnosis using CDG is illustrated through a nitric acid cooling system example. Copyright (C) 1998 IFAC.
Source: ON-LINE FAULT DETECTION AND SUPERVISION IN THE CHEMICAL PROCESS INDUSTRIES 1998
Publication Year: 1998
Volume:
Issue nr:
Pages: 119 - 124
Science Code: Automation & Control Systems; Engineering, Chemical
Tags: diagnosis; fault propagation model; digraph; knowledge engineering; automation; red-time systems; failure and recovery; FMEA; test planning
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