Study on the Fault Diagnosis of Gear Pump Based on PNN Neural Network

Gui Lan Zuo; Shang Ding Lai; Yue Cheng

doi:10.4028/www.scientific.net/AMR.1044-1045.873

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Study on the Fault Diagnosis of Gear Pump Based on...

Study on the Fault Diagnosis of Gear Pump Based on PNN Neural Network

Abstract:

The principle of neural network’s PNN algorithm was introduced, Combining with the structure feature and work principle of the hydraulic pump, a fault diagnosis system based on PNN neural network was established. The feasibility of the system was proved through the identification, emulation and experimentation of hydraulic system’s fault patterns. The PNN control model was simulated using Matlab/Simulink toolbox. This model analyzed and studied the PNN network predictive diagnostic rate. Under different sample size and SPREAD, the simulation’s results show that this method has favorable identified capability of fault mode and favorable applicability to the hydraulic pump.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

873-876

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.873

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Online since:

October 2014

Authors:

Gui Lan Zuo, Shang Ding Lai, Yue Cheng

Keywords:

Fault Diagnosis, Hydraulic Pump, Neural Network (NN), PNN

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References

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