Study on fault diagnosis method for nuclear power plant based on hadamard error-correcting output code

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Mu, Y.^1 ; Sheng, G.M.^2 ; Sun, P.N.^1

College of Physics Science and Technology, Heilongjiang University, Harbin, China^1

School of Electrical Engineering, Suihua University, Suihua, China^2

关键词: Decoding methods;    Effective algorithms;    Error correcting output code;    Error correction codes;    Fault diagnosis method;    Real-time fault diagnosis;    Small sample problems;    SVM algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012035/pdf
DOI  :  10.1088/1757-899X/199/1/012035

来源: IOP

【 摘 要 】

The technology of real-time fault diagnosis for nuclear power plants(NPP) has great significance to improve the safety and economy of reactor. The failure samples of nuclear power plants are difficult to obtain, and support vector machine is an effective algorithm for small sample problem. NPP is a very complex system, so in fact the type of NPP failure may occur very much. ECOC is constructed by the Hadamard error correction code, and the decoding method is Hamming distance method. The base models are established by lib-SVM algorithm. The result shows that this method can diagnose the faults of the NPP effectively.