Fault diagnosis of rolling element bearing using Naïve Bayes classifier
نویسندگان
چکیده
منابع مشابه
Diagnosis of Rolling Element Bearing Fault in Bearing-gearbox Union System Using Wavelet Packet Correlation Analysis
The failure of rotating machinery sometimes involves several faulty components. Existence of both bearing fault and gearbox fault is widely observed and in this situation the vibration feature of the bearing fault can be masked by the faulty gearbox vibration signals. In this research, a method is proposed based on wavelet packet transform and envelope analysis to extract fault features of the ...
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................................................................................................. i ... TABLE OF CONTENTS ................................................................................. 111 LIST OF TABLES ........................................................................................ vi . . LIST OF FIGURES .................................................................
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The bearing characteristic frequencies (BCF) contain very little energy, and are usually overwhelmed by noise and higher levels of macro-structural vibrations. They are difficult to find in their frequency spectra when using the common technique of fast fourier transforms (FFT). Therefore, Envelope Detection (ED) has always been used with FFT to identify faults occurring at the BCF. However, th...
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ژورنال
عنوان ژورنال: Vibroengineering PROCEDIA
سال: 2017
ISSN: 2345-0533
DOI: 10.21595/vp.2017.19153