Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

A Study on the Fuzzy Reasoning Algorithm for Fault Diagnosis Systems

Lian Xiaoqin; Wang Xinyi; Zhu Ziaoyan(College of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081)  
Ih connection with the charactcristics of fault diagnosis systems (FDS), a backward fuzzy reasoning algorithm based on fop petri net (FPN) model is presented.Information from the sensing organs is fed in during the reasoning process, and the reasonning effectiveness of the FDS is thus improved with the algorithm.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved