NDLI: Fault finder

Content Provider	ACM Digital Library
Author	Schneider, Mordechay Elliot, W.
Abstract	The FAULT FINDER Expert System implements fault isolation decisions for any target system or equipment that can be modeled by lowest replaceable units (hereafter called LRUs). The term “Target System” will be used to refer to the system being fault isolated. The Fault Finder expert system fault isolates the target system's LRUs. This expert system utilizes a data base to represent each LRU, a status interface to obtain LRU status, and a knowledge base to store the rules of fault isolation for the target system. The expert system has multiple “learning” capabilities in the data base, the knowledge base and the inference procedure. Another aspect of learning which influences the structure of the knowledge base is that each rule has parameters associated with it to store the information learned as a result of user feedback and the inference process. The certainty or possibility associated with the conclusion of each rule is adjusted as the system runs and gains experience. The inference procedure uses fuzzy logic for premise matching certainty, and combining of premise certainties for the rule firing certainty. This expert system brings together for the first time a fault isolation system with unique knowledge representation, inference processing, fuzzy logic, and multiple learning capabilities in one design. Also presented are issues of knowledge structure, and possible types of fault isolation knowledge.
Starting Page	13
Ending Page	23
Page Count	11
File Format	PDF
ISBN	0897913477
DOI	10.1145/99412.99420
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1990-02-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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