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Volumn 19, Issue 2, 2006, Pages 242-245

Study on combination trend prediction technology for mechaninery system based on SVM

Author keywords

Combination prediction model; Fault diagnosis; Machinery system; State monitoring; Support vector machine

Indexed keywords

FORECASTING; FREQUENCY DOMAIN ANALYSIS; MAINTENANCE; MONITORING; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS); TIME DOMAIN ANALYSIS; VELOCITY; VIBRATIONS (MECHANICAL); WATER INJECTION;

EID: 33747401859     PISSN: 10044523     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (7)
  • 2
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • Hsu Ch W, Lin Ch J. A comparison of methods for multi-class support vector machines[J]. IEEE Transactions on Neural Networks, 2002, 13(3): 415-425.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.3 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 3
    • 4444223506 scopus 로고    scopus 로고
    • Load forecasting using support vector machines: A study on EUNITE competition 2001
    • Taiwan: Taiwan University
    • Chen B J, Chang M W, Lin C J. Load forecasting using support vector machines: a study on EUNITE competition 2001[R]. Taiwan: Taiwan University, 2002.
    • (2002)
    • Chen, B.J.1    Chang, M.W.2    Lin, C.J.3
  • 6
    • 0003710380 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Chang Chih-Chung, Lin Chih-Jen. LIBSVM: a library for support vector machines, 2001. http://www.csie.ntu.edu.tw.
    • (2001)
    • Chang, C.-C.1    Lin, C.-J.2
  • 7
    • 33747437228 scopus 로고    scopus 로고
    • Chinese source


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.