Fault Diagnosis of Rotating Machinery Using Data Mining and CLIPS-Based Expert System

2008 ◽  
Author(s):  
Dongyang Dou ◽  
Yingkai Zhao
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Expert System ◽  
Rotating Machinery ◽  
Using Data

The Application of Data Mining Technology in Mechanical Fault Diagnosis

2011 ◽  
Vol 460-461 ◽  
pp. 821-826
Author(s):  
Yun Feng Lin ◽  
Xiao Ping Hu
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Technology Development ◽  
Development Trend ◽  
Advanced Technology ◽  
Mining Technology ◽  
Intelligent Diagnosis ◽  
Hidden Knowledge ◽  
Using Data ◽  
Development Tendency

This article first introduced the survey of mechanical fault diagnosis technology development and the data mining technology theory. Then its application situation at present and the main questions that exist are elaborated. Its development trend is analyzed. The application feasibility of using data mining technology in mechanical fault diagnosis is discussed. Next, the naissance, the development and the future development tendency of data mining technology are introduced. The four algorithms are analyzed and the framework is built too. Intelligent Diagnosis is a major development direction of the fault diagnosis. Knowledge acquisition is the bottleneck of Intelligent Diagnosis development. It comprehensive use of many kinds of advanced technology, discover valuable and hidden knowledge from the large amounts of data mining.

Obtaining expert system rules using data mining tools from a power generation database

1998 ◽  
Vol 14 (1-2) ◽  
pp. 37-42 ◽  
Author(s):  
Manuel Mejía-Lavalle ◽  
Guillermo Rodríguez-Ortiz
Keyword(s):  
Data Mining ◽  
Power Generation ◽  
Expert System ◽  
Using Data ◽  
Mining Tools

scholarly journals Medical Expert System using Data mining and Machine Learning

IJARCCE ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 106-108
Author(s):  
Suhas A Bhyratae ◽  
Sumukha J Sharma ◽  
Tarun Kumar K
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Expert System ◽  
Medical Expert ◽  
Medical Expert System ◽  
Using Data

RESEARCH ON FAULT DIAGNOSIS SYSTEM OF ROTATING MACHINERY BASED ON MACHINERY CONFIGURATION

2008 ◽  
Vol 07 (01) ◽  
pp. 41-44
Author(s):  
PING CHEN ◽  
ZHIJIANG XIE
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Rotating Machinery ◽  
Configuration Model ◽  
Production Rules ◽  
Maintenance Mechanism ◽  
Fuzzy Production Rules ◽  
Fault Diagnosis System ◽  
Access To Knowledge

The knowledge representation of multi-symptom fuzzy production rules based on machinery configuration model, and the establishment and maintenance mechanism of knowledge base based on relational database are studied in the paper. With the support of ADO technique, the access to knowledge base and fault reasoning are realized. Application shows that the expert system has the merits of being simple to construct and of high reasoning efficiency. And, the adaptability and universality of fault diagnosis expert system to rotate machinery are greatly increased.

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