Paper Title:
Research of Fault Detection System Combining with Fault Tree Analysis with Artificial Neural Network in Large Scale Die-Forging Press
  Abstract

This paper research on a new fault detection method used in large scale die-forging press, based on the national major science and technology project (2009ZX04005-011). This method combines fault tree analysis (FTA) with artificial neural network (ANN), it need to pick up training samples of ANN from fault tree constructing by analyzing system first. An effective network model can be achieved through using BP algorithm to train the samples based on the tree-layer feed-forward network structure. This network model can output fault reasons according to fault symptoms.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Mechatronics
Edited by
Xin Chen
Pages
661-666
DOI
10.4028/www.scientific.net/AMR.317-319.661
Citation
J. D. Yang, Y. Zhang, "Research of Fault Detection System Combining with Fault Tree Analysis with Artificial Neural Network in Large Scale Die-Forging Press", Advanced Materials Research, Vols. 317-319, pp. 661-666, 2011
Online since
August 2011
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Price
$32.00
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