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LI Ruqiang
School of Mechanical and Electronic
Engineering,
Wuhan University of Technology,
Wuhan 430070, China
LIU Yuanfeng
State Key Laboratory of Vibration,
Shock & Noise,
Shanghai Jiaotong University,
Shanghai 200030, China |
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SIMULATION OF
CRACK DIAGNOSIS
OF ROTOR BASED ON MULTI-SCALE
SINGULAR-SPECTRUM ANALYSIS*
Abstract:
In the diagnosis of rotor crack based on wavelet analysis, it is a painful task to find out an adaptive mother wavelet as many of them can be chosen and the analytic results of different mother wavelets are yet not the same. For this limitation of wavelet analysis, a novel diagnostic approach of rotor crack based on multi-scale singular-spectrum analysis (MS-SSA) is proposed. Firstly, a Jeffcott model of a cracked rotor is developed and the forth-order Runge-Kutta method is used to solve the motion equations of this rotor to obtain its time response (signals). Secondly, a comparatively simple approach of MS-SSA is presented and the empirical orthogonal functions of different orders in various scales are regarded as analyzing functions. At last, the signals of the cracked rotor and an uncracked rotor are analyzed using the proposed approach of MS-SSA, and the simulative results are compared. The results show that, the data-adaptive analyzing functions can capture many features of signals and the rotor crack can be identified and diagnosed effectively by comparing the analytic results of signals of the cracked rotor with those of the uncracked
rotor using the analyzing functions of different orders.
Key words: Rotor Crack Fault diagnosis Multi-scale singular-spectrum analysis(MS-SSA) |