Research on Fault Diagnosis for Bearing of CNC Machine Tools

Bang Cheng Zhang; Xiao Jing Yin; Zhi Jie Zhou; Yu Ling Zhang

doi:10.4028/www.scientific.net/AMR.605-607.713

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Research on Fault Diagnosis for Bearing of CNC...

Research on Fault Diagnosis for Bearing of CNC Machine Tools

Abstract:

For the use of CNC machine tools is more and more extensive, its fault diagnosis research is becoming more and more important. Failure forms are diversified, and fault reasons are very complicated. Once bearing that is an important transmission part is in fault, the machining efficiency will decrease and affect process accuracy, even make the machine work abnormally. This paper presents a deep analysis of bearing failure mechanism using the wavelet analysis method identify its failure, specially the motor and transmission machine bearing, which provides reliable basis for fault diagnosis and forecast.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

713-717

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.713

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Online since:

December 2012

Authors:

Bang Cheng Zhang, Xiao Jing Yin, Zhi Jie Zhou, Yu Ling Zhang

Keywords:

CNC Machine Tool, Mechanism Analysis, Rolling Bearing, Wavelet Theory

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