Fault diagnosis and prediction of hybrid system based on particle filter algorithm

@article{Liu2008FaultDA,
  title={Fault diagnosis and prediction of hybrid system based on particle filter algorithm},
  author={Yutian Liu and Jingping Jiang},
  journal={2008 IEEE International Conference on Automation and Logistics},
  year={2008},
  pages={1491-1495}
}
Hybrid system consists of discrete and continuous state. Fault diagnosis and prediction of hybrid system is a new and critical issue in hybrid system study. Utilizing the advantage of particle filter, which can estimate the discrete and continuous states simultaneously, a new method for fault diagnosing and predicting of hybrid system is proposed. After giving the design steps of particle filter based fault diagnosis and prediction, we discuss the application of the method to the mobile robot… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 15 REFERENCES

Fault diagnosis based on CMAC neural network and multi-models for mobile robots

  • Liu Yutian, Jiang Jingping
  • Transactions of China Electrotechnical Society
  • 2007
1 Excerpt

Artificial neural network based fault diagnosis of rolling element bearings using time domain features

  • B Samanta, K R Al-baulshi
  • Mechanical Systems and Signal Processing
  • 2003
1 Excerpt

Fault diagnosis of steam turbine-generator using CMAC neural network approach

  • Hung Chinpao, Wang Manghui, Cheng Chin hsing
  • Neural Networks. July ,
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…