A fault diagnosis method for rolling bearings based on empirical mode decomposition and principal component analysis

张海燕; 吴欣阳; 王丹; 徐卓飞; 张明龙; LIU Kai

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A fault diagnosis method for rolling bearings based on empirical mode decomposition and principal component analysis

张海燕吴欣阳王丹徐卓飞张明龙 LIU Kai

Year: 2014

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Keywords:

Principal component analysis Hilbert–Huang transform Component (thermodynamics) Fault (geology) Bearing (navigation) Computer science Mode (computer interface) Artificial intelligence Mathematics Statistics Geology Physics Seismology White noise

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Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

A fault diagnosis method for rolling bearings based on empirical mode decomposition and principal component analysis

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Citation History

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