Feature Denoising and Nearest-Farthest Distance Preserving Projection for Machine Fault Diagnosis.

IEEE Transactions on Industrial Informatics(2016)

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摘要
It is a big challenge to identify the most effective features for enhancement of fault classification accuracy in rotating machines due to nonstationary and nonlinear vibration characteristics of the machines under varying operating conditions. To find discriminative features, a novel dimension reduction algorithm, referred to as the nearest and farthest distance preserving projection (NFDPP), is ...
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关键词
Noise reduction,Feature extraction,Vibrations,Noise,Fault diagnosis,Classification algorithms,Time-domain analysis
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