Learning bayesian networks for fault detection

  title={Learning bayesian networks for fault detection},
  author={J. P. Matsuura and Takashi Yoneyama},
  journal={Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004.},
The prompt detection of faults in dynamic systems is essential to prevent dangerous operating conditions and physical breakdown. The early fault detection methods however, may have limitations of physical space, implantation cost, adequate modeling, operation conditions and others. In this work a new fault detection method is presented. This method explores the learning capability of Bayesian networks from measurements of the relevant signals that are present in the dynamic system by the use of… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 11 extracted citations


Publications referenced by this paper.
Showing 1-9 of 9 references

A novel WaveletBased Scheme for Fault Detection

  • J. A. M. F. Souza, R. K. H. GalvEo
  • Proceedings of UKACC Control
  • 2002

Mehranbod, A Probabilistic Approach for Sensor Fault Detection and Identification

  • I N.I
  • Ph.D. Thesis - Drexel University,
  • 2002

Neural Networks applied to Automatic Fault Detection

  • T. Strasser
  • Modelagem de redes Bayesianas a partir de bases…
  • 2002

Similar Papers

Loading similar papers…