Intermittent Fault Finding Strategies
Author(s) -
Wakil Ahmad Syed,
Samir Khan,
Paul S Phillips,
Suresh Perinpanayagam
Publication year - 2013
Publication title -
procedia cirp
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 65
ISSN - 2212-8271
DOI - 10.1016/j.procir.2013.07.062
Subject(s) - variety (cybernetics) , fault (geology) , selection (genetic algorithm) , computer science , reliability engineering , state (computer science) , engineering , risk analysis (engineering) , artificial intelligence , business , algorithm , geology , seismology
Intermittent faults are regarded as the most difficult class of faults to diagnose and are cited as one of the main root causes of No Fault Found. There are a variety of technical issues relating to the nature of the fault which make identifying intermittent. This paper discusses some of these issues by introducing the concept of intermittent fault dynamics, modelling approaches and a selection of the state-of-the-art testing and diagnostic techniques and technologies
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