Applications of Data Mining Algorithm in Equipment Fault Diagnosis

Rong Xiang Li; Zeng Lei Zhang; Yun Liu; Shan Chao Tu

doi:10.4028/www.scientific.net/AMM.644-650.2551

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Applications of Data Mining Algorithm in Equipment...

Applications of Data Mining Algorithm in Equipment Fault Diagnosis

Abstract:

The Basic Principles of Data mining Decision-tree ID3 is opened out. The main deficiencies are analysed. An improved algorithm based on the ID3 is calculated. For fault diagnosis of engine exemple, traditional ID3 algorithm and the improved algorithm are applied to estimate the fault diagnosis of engine separately. Decision Trees of traditional ID3 algorithm and the improved algorithm are construct. Experiment result display the accuracy of improved algorithm is better than traditional ID3. The improved algorithm is more fit to applied to the equipment fault diagnosis.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2551-2555

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2551

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Online since:

September 2014

Authors:

Rong Xiang Li*, Zeng Lei Zhang, Yun Liu, Shan Chao Tu

Keywords:

Data Mining (DM), Equipment, Fault Diagnosis, Improved ID3 Algorithm

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* - Corresponding Author

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