Paper Title:
Fault Prediction for Nonlinear Time Series Based on Temporal Pattern Estimation
  Abstract

An on-line Least Square Support Vector Regression (LS-SVR) algorithm is given in this paper. Based on this algorithm the method of on-line fault prediction by temporal pattern estimation is proposed. The method needs neither the model to approximate the true system nor the fault training data and primary knowledge. It can study and predict while system’s running, and it is believed with fast speed, fewer amounts of calculation and better real-time capability. The result of simulation on CSTR proved the efficiency.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4471-4475
DOI
10.4028/www.scientific.net/AMM.121-126.4471
Citation
S. C. Su, X. L. Fan, "Fault Prediction for Nonlinear Time Series Based on Temporal Pattern Estimation", Applied Mechanics and Materials, Vols. 121-126, pp. 4471-4475, 2012
Online since
October 2011
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Price
$32.00
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