STUDY ON ROTOR DYNAMIC FEATURE ANALYSIS AND DIAGNOSIS METHOD BASED ON INFORMATION ENTROPY

Xie ping;Du yihao

Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (2) : 77-81.

PDF(1298 KB)
PDF(1298 KB)
Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (2) : 77-81.
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STUDY ON ROTOR DYNAMIC FEATURE ANALYSIS AND DIAGNOSIS METHOD BASED ON INFORMATION ENTROPY

  • Xie ping,Du yihao
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Abstract

Aiming at complex features in rotor system running process, such as non-linearity, coupling, un-steady abrupt states etc., a new method based on information entropy feature extracting algorithm is proposed here to combine rotor system power analysis and parameter recognition method. Information entropy feature and change rule of respond parameters in typical rotor fault states are analyzed, such as crack, rub-impact, crack and rub-impact coupling etc., and a wavelet neural network model is established which can realize the recognition and diagnosis of different fault states. The validity of the proposed method is demonstrated by theoretical analyzing and testing experiment of the rotor system.

Key words

information entropy / rotor system / dynamic respond / feature extracting / fault diagnosis

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Xie ping;Du yihao. STUDY ON ROTOR DYNAMIC FEATURE ANALYSIS AND DIAGNOSIS METHOD BASED ON INFORMATION ENTROPY[J]. Journal of Vibration and Shock, 2009, 28(2): 77-81
PDF(1298 KB)

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