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EngineeringComputer Science

Random forests classifier for machine fault diagnosis

Bo-Suk Yang, Xiao Di, Tian Han

2008.9.1Journal of Mechanical Science and Technology

DOI: 10.1007/s12206-008-0603-6

tlooto Summary

This paper investigates the possibilities of applying the random forests algorithm (RF) in machine fault diagnosis, and proposes a hybrid method combined with genetic algorithm to improve the classification accuracy.

Abstract

Abstract is not available.

Citation format

YANG, Bo-Suk; DI, Xiao; HAN, Tian. Random forests classifier for machine fault diagnosis. Journal of Mechanical Science and Technology, 2008, 22: 1716–1725.