Fault Diagnosis of Large Rotors Based on Wavelet Packet Neural Network

Abstract:

Using wavelet packet neural network method which is consist of wavelet packet and BP neural network to diagnose large rotors by vibration signal .Firstly , according to the spectrum characteristic of large rotors’ common vibration fault ,using the improved wavelet packet method to compute the energy of the spectrum that can reflect the fault information .And then make the feature vector as the input to establish a model of improved wavelet packet neural network for fault diagnosis . Collect the data of five working conditions from the test bench , establish a improved wavelet packet neural network model, and then use the model to diagnose fault. The experimental results show that this method improves the accuracy obviously and calculate fast.

• Periodical: Applied Mechanics and Materials (Volume 722)
• Pages: 363-366
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.722.363
• Online since: December 2014
• Authors: You Juan Zheng*, Ping Liao, Cai Long Qin, Yu Li
• Keywords: BP Neural Network, Energy Spectrum, Fault Diagnosis, Vibration Signal, Wavelet Packet

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DOI: 10.1007/s11589-008-0091-x

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