Time—window Complexity and its Application in the Fault Diagnosis of Bearing
Post doctoral mobile station of mechanical engineering, Huazhong University of Science and Technology, 430033, Wuhan Hubei, China
a Corresponding author: Jiangpei@vip.163.com
Different from conventional spectral method, complexity analysis treaded with the signals’ time domain structure feature. Before, due to the no stationary and the unevenness of state space of mechanical signals, the state information is likely to get a loss. Now, the time-window complexity is proposed to overcome certain limitations of complexity itself in some extent. It will help to extract the state features of mechanical systems in different states. The concept and algorithm of time-window complexity is introduced detailed. The way of applying the time-window complexity for fault diagnosis is discussed. The mechanical signals of ball bearing with slight flaw and that of four kinds of impact-rubbing states of a typical rotor are then studied. The results show that time-window complexity can reflect the early fault of ball bearing, and differentiate the four kinds of rotor impact-rubbing states properly, which provides another effective way for fault diagnosis of mechanical systems.
Key words: Complexity / Rolling bearing / Rotor rub / Early fault diagnosis
© Owned by the authors, published by EDP Sciences, 2016
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