The Application of Data Mining Technology in Mechanical Fault Diagnosis

Abstract:

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.

• Periodical: Key Engineering Materials (Volumes 460-461)
• Pages: 821-826
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.460-461.821
• Online since: January 2011
• Authors: Yun Feng Lin, Xiao Ping Hu
• Keywords: Data Mining (DM), Diagnosis, Feasibility, Mechanical Fault

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