Open AccessResearch on Fault Diagnosis of Complex Equipment Based on Artificial Intelligence
Author(s) -
Zhou Quan,
Lan Liu
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 - 10.1088/1742-6596/1550/2/022028
Subject(s) - fault (geology) , bayesian network , computer science , information fusion , artificial intelligence , complex system , wavelet , signal (programming language) , data mining , pattern recognition (psychology) , reliability engineering , engineering , seismology , programming language , geology
According to the requirement of fault diagnosis for complex equipment, the fault diagnosis signal is reconstructed by wavelet analysis technology and the multi-information fusion method of fault diagnosis based on evidence theory is established. The intelligent fault diagnosis method and fault reasoning method are established by using Bayesian network technology which provides the theory and method support for fault diagnosis of complex equipment.