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A new iterative near-field coherent subspace method for rub-impact fault localization using AE technique

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Abstract

Acoustic emission (AE) localization is an important method to detect defects in bearing of rotatory machine for faults maintenance. However, only the faults near the sensor array can be detected due to severe attenuation in the recorded AE signals. Therefore, we propose a highly reliable new Iterative near-field Coherent subspace method (IN-CSM) for multiple rub-impact faults localization. The proposed approach contains four improved processes: Modal plate wave theory (MPWT) analysis for the multi-modes decomposition and group velocity revision; Discrete wavelet transform (DWT) for the useful narrow band extraction; Near field Multiple signal classification (N-MUSIC) method for the preliminary position estimations; the IN-CSM algorithm for the multiple coherent sources separation and the precise localizations. The simulations based on N-MUSIC and IN-CSM methods were compared by rubbing teston the test rig of rotation machinery. The results indicate that the proposed method can effectively locate multiple coherent rubbing faults at once. Thus, it is an effective analysis tool for rub-impact fault detection.

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Author information

Authors and Affiliations

  1. School of Information Engineering, Southeast University, Nanjing, China

    Jing Li & Li Zhao

  2. National Engineering Research Center of Turbo-generator Vibration, Southeast University, Nanjing, China

    Aidong Deng & Dongying Liu

  3. School of Resources and Geosciences, China University of Mine and Technology, Xuzhou, China

    Yong Yang

  4. School of Information Engineering, Huzhou Teachers’ College, Huzhou, Zhejiang, 313000, China

    Xinmin Cheng

Authors
  1. Jing Li
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  2. Aidong Deng
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  3. Yong Yang
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  4. Xinmin Cheng
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  5. Dongying Liu
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  6. Li Zhao
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Corresponding author

Correspondence to Jing Li.

Additional information

Recommended by Associate Editor Cheolung Cheong

Jing Li received the B.A. (2005) from Hebei University of Engineering, the M.S. (2008) from China University of Mining & Technology. She is currently pursuing the Ph.D. at Southeast University. Her main research interests include signal processing, sensor array technology as applied to rotating machinery fault diagnosis application using AE technique.

Aidong Deng received his B.E. (1991) in Industrial Electric Automation from Harbin Shipbuilding Engineering Institute, the M.S. (1994), and the Ph.D. (2008), both from Southeast University. Currently, he is a Professor with the National Engineering Research Center of Turbo-generator Vibration of School of Energy & Environment, Southeast University, Nanjing, China. Recently he has been working on acoustic emission technology for rotating machinery fault diagnosis application.

Yong Yang received his B.E. (2004) from Hebei University of Engineering in 2004 and the M.S. (2009) from China University of Mining and Technology. He is currently pursuing the Ph.D. at China University of Mining and Technology. His main research interests include signal processing and fault analyses as applied to AE signal recognition applications.

Xinmin Cheng received his B.E. (1990) in automation from Zhejiang Sci-tech University, the M.S. (2004) from Southeast University. Currently, he is a Professor with School of Information Engineering, Huzhou Teachers’ University, Huzhou, Zhejiang, China. Recently he has been working on acoustic emission technology for rotating machinery fault diag-nosis application.

Dongying Liu received the B.A. (2010) from Anhui University of technology. He is currently pursuing the M.S. at southeast university. His main research interests include fault analyses and acoustic emission technology.

Li Zhao received his B.E. (1982) in automation from Nanjing University of aeronautics and astronautics, the M.S. (1988) from Southeast University and the Ph.D. (1995) from Kyoto Institute of Technology. Currently, he is a professor with department of radio engineering, Southeast University, Nanjing, China. He worked in areas of speech recognition, fault analyses and signal processing.

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Li, J., Deng, A., Yang, Y. et al. A new iterative near-field coherent subspace method for rub-impact fault localization using AE technique. J Mech Sci Technol 31, 2035–2045 (2017). https://doi.org/10.1007/s12206-017-0401-0

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  • DOI: https://doi.org/10.1007/s12206-017-0401-0

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