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.

• Periodical: Advanced Materials Research (Volume 338)
• Pages: 421-424
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.338.421
• Online since: September 2011
• Authors: Tie Jun Li, Yan Chun Zhao, Xin Li, Cheng Shi Zhu, Jian Rong Ning
• Keywords: Fault Diagnosis, Probabilistic Neural Network, Water Pump

References

[1] Specht D F. Probabilistic neural networks[J]. Neural Networks. 1990,1(3):109-118

[2] Raghu P P. Yegnanarayana B. Supervised texture classification using a probabilistic neural network and constraint satisfaction model[J]. IEEE Trans. On Neural networks,1998, 9(3):516-522.

DOI: 10.1109/72.668893

[3] Feisi technology product research and development center. Artificial Network Theory and MATLAB7 Application[M].Beijing, Electronic industry press,(2005)

[4] Chen daxi Zhu tieguang. Big rotating machines on side diagnosis techonology [M].Beijing: mechanical industry press, 2002.

[5] Qu liangsheng, He zhengjia. machines fault diagnosis[M].Shanghai: Shanghai science and technology press, (1986)