AOC-OPTICS: Automatic Online Classification for Condition Monitoring of Rolling Bearing
نویسندگان
چکیده
منابع مشابه
Exploration of a Condition Monitoring System for Rolling Bearing Based on a Wireless Sensor Network
The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any ...
متن کاملDetermination of rolling element bearing condition via acoustic emission
Acoustic emission is an emerging technique for condition monitoring of rolling element bearings and potentially offers advantages for detection of incipient damage at an early stage of failure. Before such a technique can be applied with confidence for health monitoring, it is vital to understand the variation of acoustic emission generation with operating conditions in a healthy bearing. This ...
متن کاملAutomatic Fault Classification of Rolling Element Bearing using Wavelet Packet Decomposition and Artificial Neural Network
In this work an automatic fault classification system is developed for bearing fault classification of three phase induction motor. The system uses the wavelet packet decomposition using ‘db8’ mother wavelet function for feature extraction from the vibration signal, recorded for various bearing fault conditions. The selection of best node of wavelet packet tree is performed by using best tree a...
متن کاملCondition Monitoring Method for Automatic Transmission Clutches
This paper presents the development of a condition monitoring method for wet friction clutches which might be useful for automatic transmission applications. The method is developed based on quantifying the change of the relative rotational velocity signal measured between the input and output shaft of a clutch. Prior to quantifying the change, the raw velocity signal is preprocessed to capture...
متن کاملAn MSB based robust detector for bearing condition monitoring
Envelope analysis is a widely used method for bearing fault detection. To obtain high detection accuracy, it is critical to select an optimal narrowband for envelope demodulation. Fast Kurtogram is an effective method for optimal narrowband selection. However, fast Kurtogram is not sufficiently robust because it is very sensitive to random noise and large aperiodic impulses which normally exist...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Processes
سال: 2020
ISSN: 2227-9717
DOI: 10.3390/pr8050606