A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection

@article{Zhang2011APF,
  title={A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection},
  author={Bin Zhang and Chris Sconyers and Carl S. Byington and Romano Patrick and Marcos E. Orchard and George J. Vachtsevanos},
  journal={IEEE Transactions on Industrial Electronics},
  year={2011},
  volume={58},
  pages={2011-2018}
}
This paper introduces a method to detect a fault associated with critical components/subsystems of an engineered system. It is required, in this case, to detect the fault condition as early as possible, with specified degree of confidence and a prescribed false alarm rate. Innovative features of the enabling technologies include a Bayesian estimation algorithm called particle filtering, which employs features or condition indicators derived from sensor data in combination with simple models of… CONTINUE READING
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