Open AccessNew Multi-expert System Based on LSSVM and FI
Author(s) -
Xiong Xiao-long
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1601/3/032046
Subject(s) - fault (geology) , expert system , computer science , nonlinear system , fuzzy logic , mechanism (biology) , support vector machine , artificial intelligence , data mining , control engineering , machine learning , engineering , philosophy , physics , epistemology , quantum mechanics , seismology , geology
In order to make a diagnosis and obviate the fault more effectively, when complicated mechanical system goes wrong, combining the characteristics of support vector machine, fuzzy integral and expert system, this paper puts forward the integral structure and diagnosis model of multi-expert system based on LSSVM and FI. The model synthesizes the advantages of each algorithm. This method overcomes the insufficiency of traditional expert system such as lack of the mechanism of effective self-study and self-adapt, be difficult to resolve the nonlinear system fault problems. Therefore, it is a convenient way to resolve the multi-sign and multi-reason fault problems of complicated mechanical system.