Paper Title:
Fault Diagnosis of Water Pump Based on Probabilistic Neural Network
  Abstract

The basic principle of probabilistic neural network (PNN) is introduced, which is used in the fault diagnosis of water pump in this paper. The multiple and fractional frequencies in the fault vibration signal spectrum are taken as the feature vectors, and the samples of the fault are established. The probabilistic neural network is trained based on the symptom diagnosis. The result shows that probabilistic neural network can overcome the local optimization of back propagation neural network (BPNN) and meet the requirements for fast diagnosis and high precision diagnosis during fault diagnosis process, so probabilistic neural network can be used in the real time diagnosis, and the fault diagnosis based on probabilistic neural network is feasible.

  Info
Periodical
Chapter
Chapter 3: Mechanical Dynamics and its Applications
Edited by
Xiaodong Zhang, Zhijiu Ai, Prasad Yarlagadda and Yun-Hae Kim
Pages
421-424
DOI
10.4028/www.scientific.net/AMR.338.421
Citation
T. J. Li, Y. C. Zhao, X. Li, C. S. Zhu, J. R. Ning, "Fault Diagnosis of Water Pump Based on Probabilistic Neural Network", Advanced Materials Research, Vol. 338, pp. 421-424, 2011
Online since
September 2011
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Price
$32.00
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