Sargur N. Srihari (auth.), Spyros G. Tzafestas (eds.)'s Knowledge-Based System Diagnosis, Supervision, and Control PDF

By Sargur N. Srihari (auth.), Spyros G. Tzafestas (eds.)

ISBN-10: 148992471X

ISBN-13: 9781489924711

ISBN-10: 1489924736

ISBN-13: 9781489924735

It is within the quarter of structures prognosis. Supervision and keep watch over that Knowledge-Based innovations have had their most vital influence in recent times. during this quantity. Spyros Tzafestas has ably prepare the present cutting-edge of the applying of synthetic Intelligence suggestions to difficulties of structures analysis. the entire authors during this edited paintings are special across the world. well-known specialists on numerous features of man-made Intelligence and its purposes. and the assurance of the sphere that they supply is either readable and authoritative. The 16 chapters holiday down in a ordinary approach into 3 huge different types i.e •• (a) advent to the functions of specialist platforms in Engineering. (b) Knowledge-based platforms architectures. types and methods for fault prognosis. supervision and actual time regulate and at last. (c) functions and case stories in 3 particular 'areas. particularly: production. Chemical tactics and Communications Networks. the ultimate bankruptcy offers a com­ prehensive survey of the sphere with an intensive bibliography. the combination of unique clinical articles. instructional and survey papers makes this col­ lection a truly well timed and worthy addition to the literature during this vital box. MADAN G. SINGH Professor of knowledge Engineering at U.M.I.S.T.

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Sample text

Early diagnostic systems use empirical reasoning, and some new systems use functional reasoning. The empirical reasoning makes the diagnosis process quick and effective, whereas the functional reasoning makes the diagnosis flexible and accurate. A brief discussion on both the emp~ Aea40ning and 6unetional style of diagnosis will be given in this section as well as some examples. In section 3 we examine 27 the nature of typical engineering deagnostics. Our investigation will show that the engineering diagnosis process is typically a mixture of empirical reasoning and functional reasoning coupled with hierarchical knowledge.

Depending on the first word of the query. the question restatement system looks for a keyword or subject of the question. The query is restated in a standard format for each of the word types recognized and restated as a preamble for the explanation. The following examples illustrate the method. " System {question posed to the user} User System :. " {explanation follows ••• } The standard restatement of the user question is followed by an interpretation of the "then" parts of the rules used. In cases in which there is a message clause in a rule.

For example, two brands of some electronic product can have totally different test points and totally different voltages and waveforms at the test points. Hence, diagnostic systems employing empirical reasoning are often not so adaptable. To improve the adaptability of diagnostic systems employing empirical reasoning, the rule base must be divided properly according to the functionality of the rules, as well as to their structural relationship. In addition, rules of more general forms (usually refer to a subsystem) are more adaptable.

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Knowledge-Based System Diagnosis, Supervision, and Control by Sargur N. Srihari (auth.), Spyros G. Tzafestas (eds.)

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