메뉴 건너뛰기




Volumn , Issue , 2008, Pages 198-203

Design and performance improvements for fault detection in tightly-coupled multi-robot team tasks

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; INDUSTRIAL ROBOTS; MACHINE DESIGN; MULTIPURPOSE ROBOTS; PRINCIPAL COMPONENT ANALYSIS;

EID: 50049106145     PISSN: 10910050     EISSN: 1558058X     Source Type: Conference Proceeding    
DOI: 10.1109/SECON.2008.4494285     Document Type: Conference Paper
Times cited : (7)

References (18)
  • 1
    • 0021583718 scopus 로고
    • FCM: The fuzzy c-means clustering algorithm
    • J. C. Bezdek, R. Ehrlich, and W. Full. FCM: The fuzzy c-means clustering algorithm. Computers and Geosciences, 10(2-3):191-203, 1984.
    • (1984) Computers and Geosciences , vol.10 , Issue.2-3 , pp. 191-203
    • Bezdek, J.C.1    Ehrlich, R.2    Full, W.3
  • 2
    • 33847272945 scopus 로고    scopus 로고
    • A multiple particle filters method for fault diagnosis of mobile robot dead-reckoning system
    • Z. Cai and Z. Duan. A multiple particle filters method for fault diagnosis of mobile robot dead-reckoning system. In IEEE International Conference on Intelligent Robots and Systems, pages 481-486, 2005.
    • (2005) IEEE International Conference on Intelligent Robots and Systems , pp. 481-486
    • Cai, Z.1    Duan, Z.2
  • 6
    • 0001138328 scopus 로고
    • A K-means clustering algorithm
    • J. A. Hartigan and M. A. Wong. A K-means clustering algorithm. Applied Statistics, 28:100-108, 1979.
    • (1979) Applied Statistics , vol.28 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 8
    • 9744285892 scopus 로고    scopus 로고
    • Analytical redundancy techniques for fault detection in an active heavy vehicle suspension
    • B.P. Jeppesen and D. Cebon. Analytical redundancy techniques for fault detection in an active heavy vehicle suspension. Vehicle System Dynamics, 42:75-88, 2004.
    • (2004) Vehicle System Dynamics , vol.42 , pp. 75-88
    • Jeppesen, B.P.1    Cebon, D.2
  • 11
    • 0141987629 scopus 로고    scopus 로고
    • Model-based fault detection and isolation method using ART2 neural network
    • I. S. Lee, J. T. Kim, and J. W. Lee. Model-based fault detection and isolation method using ART2 neural network. International Journal of Intelligent Systems, 18:1087-1100, 2003.
    • (2003) International Journal of Intelligent Systems , vol.18 , pp. 1087-1100
    • Lee, I.S.1    Kim, J.T.2    Lee, J.W.3
  • 13
    • 36349014822 scopus 로고    scopus 로고
    • Sensor analysis for fault detection in tightly-coupled multi-robot team tasks
    • X. Li and L. E. Parker. Sensor analysis for fault detection in tightly-coupled multi-robot team tasks. In IEEE International Conference on Robotics and Automation, pages 3269-3276, 2007.
    • (2007) IEEE International Conference on Robotics and Automation , pp. 3269-3276
    • Li, X.1    Parker, L.E.2
  • 15
    • 0019533482 scopus 로고
    • Principal component analysis in linear systems: Controllability, observability, and model reduction
    • B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction. IEEE Transactions on Automatic Control, 26:17-32, 1981.
    • (1981) IEEE Transactions on Automatic Control , vol.26 , pp. 17-32
    • Moore, B.1
  • 18
    • 30944436833 scopus 로고    scopus 로고
    • Scalable robot fault detection and identification
    • V. Verma and Simmons. Scalable robot fault detection and identification. Robotics and Autonomous Systems, 54:184-191, 2006.
    • (2006) Robotics and Autonomous Systems , vol.54 , pp. 184-191
    • Verma, V.1    Simmons2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.