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Volumn 31, Issue 2, 2010, Pages 334-340

Information fusion method of simultaneous fault diagnosis based on random set theory

Author keywords

Evidence theory; Fault diagnosis; Fuzzy set; Information fusion; Random set theory; Simultaneous fault

Indexed keywords

COMBINATION RULES; EVIDENCE COMBINATION RULE; EVIDENCE THEORIES; FAULT DIAGNOSIS; FAULT FEATURE; INFORMATION FUSION METHOD; MACHINE ROTORS; MATCHING DEGREE; POWER SET; RANDOM SET; RANDOM SET THEORY; SIMULTANEOUS FAULTS; SINGLE FAULT; SINGLE SENSOR;

EID: 77950979995     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (15)
  • 1
    • 37749019804 scopus 로고    scopus 로고
    • Information fusion method of fault diagnosis
    • Zhu D Q. Liu Y AN. Information fusion method of fault diagnosis[J]. Control of Decision, 2007, 22(12): 1321-1328.
    • (2007) Control of Decision , vol.22 , Issue.12 , pp. 1321-1328
    • Zhu, D.Q.1    Liu, Y.A.2
  • 2
    • 4444277861 scopus 로고    scopus 로고
    • Data fusion algorithm of multisensor based on D-S evidential theory and fuzzy mathematics
    • Han J, Tao Y G. Data fusion algorithm of multisensor based on D-S evidential theory and fuzzy mathematics[J]. Chinese Journal of Scientific Instrument, 2000, 21(6): 644-647.
    • (2000) Chinese Journal of Scientific Instrument , vol.21 , Issue.6 , pp. 644-647
    • Han, J.1    Tao, Y.G.2
  • 3
    • 0041326578 scopus 로고    scopus 로고
    • Study on simultaneous fault diagnosis based information fusion technique
    • Cai X G, Ma P. Study on simultaneous fault diagnosis based information fusion technique[J]. Proceedings of the CSEE, 2003, 23(5):112-115.
    • (2003) Proceedings of the CSEE , vol.23 , Issue.5 , pp. 112-115
    • Cai, X.G.1    Ma, P.2
  • 4
    • 27744446088 scopus 로고    scopus 로고
    • Fault diagnosis based on integrated neural network and D-S evidential reasoning
    • Wang N, Liang Y. Fault diagnosis based on integrated neural network and D-S evidential reasoning[J]. Chinese Journal of Scientific Instrument, 2005, 26(8): 773-774.
    • (2005) Chinese Journal of Scientific Instrument , vol.26 , Issue.8 , pp. 773-774
    • Wang, N.1    Liang, Y.2
  • 5
    • 77951011646 scopus 로고    scopus 로고
    • Fault diagnosis based on gray correlation and evidence theory
    • Lin Y, Gao L P. Fault diagnosis based on gray correlation and evidence theory[J]. Journal of Electronic Measurement and Instrument, 2009, 23(7): 68-72.
    • (2009) Journal of Electronic Measurement and Instrument , vol.23 , Issue.7 , pp. 68-72
    • Lin, Y.1    Gao, L.P.2
  • 6
    • 32644437073 scopus 로고    scopus 로고
    • Fault diagnosis of machines based on D-S evidence theory. Part 1: D-S evidence theory and its improvement
    • Fan X F, Zuo M J. Fault diagnosis of machines based on D-S evidence theory. Part 1: D-S evidence theory and its improvement[J]. Pattern Recognition Letter, 2006, 27: 366-376.
    • (2006) Pattern Recognition Letter , vol.27 , pp. 366-376
    • Fan, X.F.1    Zuo, M.J.2
  • 9
    • 77951006504 scopus 로고    scopus 로고
    • The unified method of describing and modeling multisource information based on random set theory
    • Xu X B, Wen Ch L, Liu R L. The unified method of describing and modeling multisource information based on random set theory[J]. Acta Electronica Sinica, 2008, 26(6):1-7.
    • (2008) Acta Electronica Sinica , vol.26 , Issue.6 , pp. 1-7
    • Xu, X.B.1    Wen, C.L.2    Liu, R.L.3
  • 10
    • 3843114434 scopus 로고    scopus 로고
    • Extended dempster-shafer combination rules based on random set theory
    • SPIE
    • Zhu Y M, Li X R. Extended dempster-shafer combination rules based on random set theory[J]. SPIE, 2004, 5434: 112-120.
    • (2004) , vol.5434 , pp. 112-120
    • Zhu, Y.M.1    Li, X.R.2
  • 11
    • 42249106538 scopus 로고    scopus 로고
    • Research on unified description and extension of combination rules of evidence based on the random set theory
    • Wen C L, Xu X B, Li Z L, Research on unified description and extension of combination rules of evidence based on the random set theory[J]. The Chinese Journal of Electronics, 2008, 17(2):279-284.
    • (2008) The Chinese Journal of Electronics , vol.17 , Issue.2 , pp. 279-284
    • Wen, C.L.1    Xu, X.B.2    Li, Z.L.3
  • 12
    • 70449344894 scopus 로고    scopus 로고
    • On logical method for counting Dedekind numbers
    • Tombak M, Isotamm A, Tamme T. On logical method for counting Dedekind numbers[J]. Lect. Notes on Comp. Sci, 2001, 2138: 424-427.
    • (2001) Lect. Notes on Comp. Sci , vol.2138 , pp. 424-427
    • Tombak, M.1    Isotamm, A.2    Tamme, T.3
  • 13
    • 67849117258 scopus 로고    scopus 로고
    • Information fusion algorithm of fault diagnosis based on random set metrics of fuzzy fault features
    • Xu X B, Wen Ch L, Wang Y CH. Information fusion algorithm of fault diagnosis based on random set metrics of fuzzy fault features[J]. Journal of Electronics & Information Technology, 2008, 31(7): 1635-1640.
    • (2008) Journal of Electronics & Information Technology , vol.31 , Issue.7 , pp. 1635-1640
    • Xu, X.B.1    Wen, C.L.2    Wang, Y.C.3
  • 14
    • 33645651051 scopus 로고    scopus 로고
    • Fuzzy information fusion based on evidence theory and Its application in target recognition
    • Deng Y, Zhu Zh F, Zhong SH. Fuzzy information fusion based on evidence theory and Its application in target recognition[J]. Acta Aeronautica et Astronautica Sinica, 2005, 26(6): 754-758.
    • (2005) Acta Aeronautica et Astronautica Sinica , vol.26 , Issue.6 , pp. 754-758
    • Deng, Y.1    Zhu, Z.F.2    Zhong, S.3
  • 15
    • 32644451242 scopus 로고    scopus 로고
    • Fault diagnosis of machines based on D-S evidence theory. Part 2: Application of the improved D-S evidence theory in gearbox fault diagnosis
    • Fan X F, Zuo M J. Fault diagnosis of machines based on D-S evidence theory.Part 2: Application of the improved D-S evidence theory in gearbox fault diagnosis[J]. Pattern Recognition Letter, 2006, 27: 377-385.
    • (2006) Pattern Recognition Letter , vol.27 , pp. 377-385
    • Fan, X.F.1    Zuo, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.