A Fault Diagnosis Method of Active Distribution Network Based on Fault Search Table and Data Mining Technology

2020 ◽  
Author(s):  
Bing Xue ◽  
Qing Chen ◽  
Wudi Huang
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Distribution Network ◽  
Mining Technology ◽  
Active Distribution Network ◽  
Diagnosis Method

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.

Application of Dynamic Data Mining and Case-Based Reasoning in the Drilling Fault Diagnosis

2012 ◽  
Vol 524-527 ◽  
pp. 1350-1354
Author(s):  
Qi Li ◽  
Peng Zhai ◽  
Yun Li Zhao
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Knowledge Base ◽  
Case Based Reasoning ◽  
Dynamic Data ◽  
Mining Technology ◽  
Decision Systems ◽  
Static Data ◽  
Fault Diagnosis System ◽  
Case Based

Most of the traditional drilling fault diagnosis & decision systems use static data mining technology, so the update of knowledge base becomes its bottlenecks in its development. In order to meet the actual needs, this paper puts forward the method, which combines dynamic data mining technology with case-based reasoning technology, to design drilling fault diagnosis & decision systems. First, design drilling fault diagnosis system overall, then describe the realization of how to realize dynamic data mining and case-based reasoning in detail, finally, introduce some question about the update of knowledge base.

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