Abstract
Varying rotate speed can cause changes in a measured gearbox vibration signal. There is a need to develop a technique to provide accurate state indicator of gearbox under fluctuating rotate speed conditions. This paper presents an approach for gearbox fault detection under varying rotate speed condition based on auxiliary particle filter. Firstly, the model of vibration part which sensitive to the alternating rotate speed condition was established based on the relation of cosine signal three points sampling values. Then this part vibration signal was estimated based on auxiliary particle filter. Based on these the residual signal was obtained which lower sensitiveness to the alternating rotate rate condition. Thus the gearbox fault was detected by the residual signal statistic quantity kurtosis and amplitude of Fourier transform. Finally, the different work condition vibration signals of the laboratory gearbox under varying rotate speed condition were detected and signal processing was studied with those signals as examples. The results show that the proposed method is feasible and effective.
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Pan, H., Yuan, J. (2013). A Fault Diagnosis Method under Varying Rotate Speed Conditions Based on Auxiliary Particle Filter. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_53
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DOI: https://doi.org/10.1007/978-3-642-42051-1_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42050-4
Online ISBN: 978-3-642-42051-1
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