Fault diagnosis for rotating machineries under variable operation conditions based on SVDI

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (19) : 211-216.

SONG Tao1,2,WANG Yulin3, ZHAO Mingfu1,2,ZHONG Nianbing1,2

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Abstract

Variable operation conditions of rotating machineries lead to unstable vibration characteristics to bring large difficulties to their fault diagnosis.Here, a method for variable conditions fault diagnosis based on the singular value decomposition interpolation (SVDI) was proposed.Firstly, vibration signal samples of rotating machinery were collected under a discrete operation condition.Then sample characteristic matrices were decomposed into singular vectors, rotation matrices and characteristic means with SVD.These singular vectors, rotation matrices and characteristic means were interpolated to reconstruct characteristic matrices under the actual measured operation condition.Finally, the fault diagnosis for rotating machinery was conducted with the feature reduction and pattern recognition method.It was shown that the proposed method can be used to estimate vibration characteristics of rotating machinery under any working condition to a certain extent when there is no complete sample base, and solve difficult fault diagnosis problems of rotating machineries under variable operation conditions.

Key words

variable condition / Singular Value Decomposition Interpolation (SVDI) / Fault diagnosis / Pattern recognition / Rotating machinery equipment

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SONG Tao1,2,WANG Yulin3, ZHAO Mingfu1,2,ZHONG Nianbing1,2. Fault diagnosis for rotating machineries under variable operation conditions based on SVDI[J]. Journal of Vibration and Shock, 2018, 37(19): 211-216

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