DocumentCode :
895952
Title :
Computational complexity issues in operative diagnosis of graph-based systems
Author :
Rao, Nageswara S V
Author_Institution :
Oak Ridge Nat. Lab., TN, USA
Volume :
42
Issue :
4
fYear :
1993
fDate :
4/1/1993 12:00:00 AM
Firstpage :
447
Lastpage :
457
Abstract :
Systems that can be modeled as graphs, such that nodes represent the components and the edges represent the fault propagation between the components, are considered. Some components are equipped with alarms that ring in response to faulty conditions. In these systems, two types of problem are studies: fault diagnosis and alarm placement. The fault diagnosis problems deal with computing the set of all potential failure sources that correspond to a set of ringing alarms. Single faults, where exactly one component can become faulty at any time, are primarily considered. Systems are classified into zero-time and non-zero-time systems on the basis of fault propagation time. The latter are further classified on the basis of knowledge of propagation times. For each of these classes algorithms are presented for single fault diagnosis. The problem of detecting multiple faults is shown to be NP-complete. An alarm placement problem that requires a single fault to be uniquely diagnosed is examined
Keywords :
computational complexity; fault tolerant computing; NP-complete; alarm placement; alarm placement problem; computational complexity; fault diagnosis; fault propagation; fault propagation time; graph-based systems; Aircraft; Chemicals; Computational complexity; Degradation; Fault detection; Fault diagnosis; Intelligent sensors; Medical diagnosis; NP-complete problem; Testing;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/12.214691
Filename :
214691
Link To Document :
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