Recent Advances in Planetary Gearbox Fault Diagnosis

Abstract:

In order to guarantee the quality of remanufacturing planetary gearbox products, fault diagnosis and evaluation are the key links in the process of remanufacturing engineering. The faults will lead to cyclical impact, causing the transient response of periodic vibration signals, by studying the fault mechanism and using modern signal processing methods, the fault features can be extracted and analyzed. The purpose of this review is to present a summary about the application of the vibration test technology in remanufacturing planetary gearbox fault diagnosis, including the following main aspects: the fault diagnosis theories,the sidebands spectrum structure and the application of modern signal processing methods. In addition, some key problems in planetary gearbox fault diagnosis are analyzed and the approaches to solve these problems are discussed.

• Periodical: Applied Mechanics and Materials (Volume 615)
• Pages: 140-144
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.615.140
• Online since: August 2014
• Authors: Ming Hui Li*
• Keywords: Fault Diagnosis, Remanufacturing Planetary Gearbox, Sideband Spectra Analysis, Signal Processing

References

[1] C.Z. Chen, L.X. Hu, B. Zhou, et al., Equipment vibration analysis and fault diagnosis technology, Macmillan, Beijing, (2007).

[2] M. INALPOLAT, A. KAHRAMAN, A dynamic model to predict modulation sidebands of a planetary, J. Journal of Sound And Vibration. 329(2010)371-393.

DOI: 10.1016/j.jsv.2009.09.022

[3] M. INALPOLAT, A. KAHRAMAN, A theoretical and experimental investigation of modulation, J. Journal of Sound And Vibration. 323(2009)677-696.

DOI: 10.1016/j.jsv.2009.01.004

[4] Z.P. Feng, M.J. Zuo, Vibration signal models for fault diagnosis of planetary gearboxes, J. Journal of Sound and Vibration. 331(2012)4919-4939.

DOI: 10.1016/j.jsv.2012.05.039

[5] S.B. Wang, W.G. Hung, Z.K. Zhu, Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis, J. Mechanical Systems and Signal Processing. 25(2011)1299-1320.

DOI: 10.1016/j.ymssp.2010.10.013

[6] H. Li, Y.P. Zhang, H.Q. Zheng, Application of Hermitian wavelet to crack fault detection in gearbox, J. Mechanical Systems and Signal Processing. 25(2011)1353-1363.

DOI: 10.1016/j.ymssp.2010.11.008

[7] Z.K. Peng, F.L. Chu, Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography, J. Mechanical Systems and Signal Processing. 18(2004)199-221.

DOI: 10.1016/s0888-3270(03)00075-x

[8] F.L. Chu, Z.K. Peng, Z. P. Feng, et al., Modern signal processing method in mechanical fault diagnosis, Macmillan, Beijing, (2009).

[9] J.J. Gao, Machine fault diagnosis and self-healing, Macmillan, Beijing, (2012).