Application of Fuzzy Neural Network to Fault Diagnosis of Sensor with Mechanical Properties in Nuclear Power Plant

Jin Yang Li; Hong Xia

doi:10.4028/www.scientific.net/AMR.644.68

Paper Titles

Study on the Online Detecting Technology for Partial Discharge of Power Equipment with Mechanical Properties
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Study on Sensor with Mechanical Properties in Nuclear Power Plant with Application of BP Neural Network to Fault Tolerant Control
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Research on the Remote Monitoring System of Photovoltaic Power Station Based on CAN Bus and GPRS with Mechanical Properties
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Research on Electronic Expansion Valve Opening Mechanical Properties of Multi-Link Inverter Air-Con Based on Neural Network
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Application of Fuzzy Neural Network to Fault Diagnosis of Sensor with Mechanical Properties in Nuclear Power Plant
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Intelligent Control of Valve-Controlled Electro-Hydraulic System in Erecting Device Based on Mechanical Mechanics
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Study on Autopilot Dynamics with Robust Guidance Law and Terminal Constraint in Mechanical Engineering
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The Design of Variable Frequency Constant Pressure of Gas Conveying Control System in Mechanical Engineering
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Simulation of Hydraulic Servo System Based on Dynamic Monitoring in Mechanical Engineering
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 644Application of Fuzzy Neural Network to Fault...

Application of Fuzzy Neural Network to Fault Diagnosis of Sensor with Mechanical Properties in Nuclear Power Plant

Abstract:

In view of the sensor fault in nuclear power plant, it puts forward a method to fault diagnosis of sensor with mechanical properties based on fuzzy neural network. The method would be fuzzy logic control combined with neural network. It adjusted and corrected membership function parameters and network weights with back propagation algorithm. After the completion of fuzzy neural network training, it could get the credibility of sensor with mechanical properties real time. Taking pressurizer water-level sensor as the case, the simulation experiment results showed that the method is valid for the fault diagnosis of sensor with mechanical properties in nuclear power plant.

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Periodical:

Advanced Materials Research (Volume 644)

Pages:

68-71

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.644.68

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Online since:

January 2013

Authors:

Jin Yang Li, Hong Xia

Keywords:

Application, Fault Diagnosis, Fuzzy Neural Network (FNN), Mechanical Property, Sensor

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