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Significant progress has been achieved in both theory and application of intelligent fault diagnosis system that is gradually becoming a new and independent research field.
Nowadays, logical system for knowledge acquisition has not been unified whose validity, advantage and pertinence partly depend on the human factors which is always characterized by emotion and blindness during the process.
In present diagnosis system, reasoning doesn’t adapt to complicated system involving multi-variable and multi-process because of single sign inference. As to the development of expert system of fault diagnosis and requirement of fault diagnosis, it’s necessary to make knowledge based Engineering (KBE) is an open environment for diagnosis integrating diversified forms of knowledge into various kinds of isomeric knowledge system, which is fulfilled through succession, generalization, integration, application and management of knowledge, and its kernel consists of knowledge acquisition, expression and reasoning management.
Considering insufficiency existed in current fault diagnosis, a novel network-topological diagnosis system based on KBE graph is established, which marks major breakthrough in acquisition, expression and application of general knowledge and expert knowledge.
This diagnosis system, with the integration of establishment, modification, extension and maintenance of expert knowledge, does not need special coding, which can significantly save time and reduce the chance of failure; reasoning processor based on expert rules, fuzzy logic and neural network enables the system to adapt to those complicated systems with multi-variable, multi-parameter, multi-object and multi-process.
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