Multisensor data fusion for automotive engine fault diagnosis

Tsinghua Science and Technology

Volumn 9, Issue 3, 2004, Pages 262-265

  Wang, Yunsong ^a   Chu, Fulei ^a   He, Yongyong ^a   Guo, Dan ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Data fusion; Dempster Shafer evidence theory; Engine; Fault diagnosis

Indexed keywords

DATA PROCESSING; FAULT TREE ANALYSIS; FEATURE EXTRACTION; SENSOR DATA FUSION;

AUTOMOTIVE ENGINE; DEMPSTER SHAFER EVIDENCE THEORY; FAULT DIAGNOSIS; SIGNAL PREPROCESSING;

AUTOMOBILE ENGINES;

EID: 3442883988     PISSN: 10070214     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Ampazis N, Perantonis S J, Taylor J G. Dynamics of multiplayer networks in the vicinity of temporary minima. Neural Networks, 1999, 12(1): 43-58.
2. Hall D L. An introduction to multisensor data fusion. Proceedings of the IEEE, 1997, 85(1): 6-23.
3. Ganonlay A. Multiple platforms sensor integration model: MULSIM computer program. ADA 079951. Naval Research Laboratory, 1999, 31(12): 1-62.
4. Tenney R. Detection with distributed sensors. IEEE Trans. on AES, 1981, 17(1): 98-101.
5. Ronald R Y. Entropy and specificity in a mathematical theory of evidence. Gen. Systems, 1983, 9(2): 249-260.
6. Stephane J. Contribution to multisensor fusion formalization. Robotics and Autonomous Systems, 1994, 13(2): 56-60.
7. Varshney P K. Distributed Detection and Information Fusion. New York: Springer-Verlag, 1996.
8. Philip R D. A new failure detection approach and its application to GPS autonomous integrity monitoring. IEEE Transactions on AES, 1995, 31(1): 499-506.
9. Philip L, Bogler H. Shafer-Dempeter reasoning with applications to multisensor target identification systems. IEEE Transactions on Systems, Man, and Cybernetics, 1997, 17(6): 901-930.
10. Isermann R. Process fault detection based on modeling and estimation methods - A survey. Automatica, 1984, 20(2): 47-54.
11. Carrnault J. Third generation antiskid: Safety diagnostive features of the ECU. SAE890093.