Paper Title:
Fault Diagnosis of Nuclear Power Equipment Based on HMM-SVM and Database Development
  Abstract

This paper mainly introduced the basic theory of Hidden Markov Model (HMM) and Support Vector Machines (SVM). HMM has strong capability of handling dynamic process of time series and the timing pattern classification, particularly for the analysis of non-stationary, poor reproducibility signals. It has good ability to learn and re-learn and high adaptability. SVM has strong generalization ability of small samples, which is suitable for handling classification problems, to a greater extent, reflecting the differences between categories. Based on the advantages and disadvantages between the two models, this paper presented a hybrid model of HMM-SVM. Experiments showed that the HMM-SVM model was more effective and more accurate than the two single separate models. The paper also explored the application of its database system development, which could help the managers to get and handle the data quickly and effectively.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
2532-2536
DOI
10.4028/www.scientific.net/AMR.139-141.2532
Citation
H. Y. Zhu, C. L. Zhang, X. Yue, "Fault Diagnosis of Nuclear Power Equipment Based on HMM-SVM and Database Development", Advanced Materials Research, Vols. 139-141, pp. 2532-2536, 2010
Online since
October 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhe He Yao, Xin Li, Zi Chen Chen
Abstract:Self-chatter is a serious problem in cutting process. This paper aims to solve the problem by establishing time series model of vibration...
2712
Authors: Chun Liang Zhang, Sheng Li, Xia Yue
Abstract:The centrifugal pump of pressurized water reactor (PWR) in nuclear power plant is characterized by its complicated system, small accumulated...
3233
Authors: Yong Hui Tang, Guo Xiang Lin, Chun Liang Zhang
Abstract:A kind of signal build mould and identification tool for roller of rolling mill was discussed. Basic algorithm of Hidden Markov model (HMM)...
2546
Authors: Jian Ping Xuan, Zeng Bing Xu, Bo Wu, Tie Lin Shi
Chapter 2: Materials Science in Computer-Aided Manufacturing and Design
Abstract:The paper introduces a new approach to detect the fault of bearing based on wavelet grey moment vector and hidden Markov modeling (HMM)....
210
Authors: Yang Yu, Ming Yu Zhang
Chapter 1: Acoustics and Ultrasonic Measurement
Abstract:Aiming at the acoustic emission signals of oil storage tank bottom injured, hidden Markov algorithm is proposed to identify the tank bottom...
42