Application of Wavelet Packet Energy Spectrum in Micro Motor Fault Diagnosis

Abstract:

To diagnosis vibration signals of micro motor in several different fault types a method based on wavelet packet energy spectrum is presented, the energy on each Sub-frequency band, which are Calculated by Wavelet packet decomposition and reconstruction algorithm, are used to normalization process.Under both circumstances of normal working and unmoral working of mechanical equipment,there exist evident differences among the Sub-frequency band energy after the decomposition of wavelet packet, which energy contains a wealth of micro motor running status information and the eigenvectors is structured by the Sub-frequency band energy spectrum can establish energy and Fault mapping relationship.The preliminary experimental results show that it is effective to use the wavelet packet-energy spectrum in micro motor fault diagnosis .

• Periodical: Advanced Materials Research (Volumes 726-731)
• Pages: 3159-3162
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.726-731.3159
• Online since: August 2013
• Authors: Sheng Yi Chen, Gui Tang Wang, Shou Lei Sun, Qiang Zhou
• Keywords: Energy Spectrum, Fault Diagnosis, Micro Motor, Wavelet Packet

References

[1] Y.L .Ding, A.Q Li,. C.Q Miao: Tianjin Daxue Xuebao ,Vol.43(2010), pp.562-566.

[2] J.P .Wang, W.L Sun: mechanical drive ,Vol.35(2011), pp.55-58.

[3] K .Zhang, Y.H Lu: Microcomputer Information ,Vol.22(2006), pp.202-205.

[4] L.L .Chao, Y.Deng: Vibration, Measurement & Diagnosis ,Vol.52(2006), pp.591-595.