Condition monitoring with mean field independent components analysis

Mechanical Systems and Signal Processing

Volumn 19, Issue 6, 2005, Pages 1337-1347

  Pontoppidan, Niels Henrik ^a   Sigurdsson, Sigurdur ^a   Larsen, Jan ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Condition monitoring; Mean field independent components analysis; Unsupervised learning

Indexed keywords

ACOUSTIC EMISSIONS; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS; SIGNAL PROCESSING;

ENERGY SIGNALS; MEAN FIELD INDEPENDENT COMPONENTS ANALYSIS; NOISE STATISTICS; UNSUPERVISED LEARNING;

CONDITION MONITORING;

EID: 27644454397     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2005.07.005     Document Type: Article

References (13)

1. G. Chandroth, A. Sharkey, Utilising the rotational motion of machinery in a high resolution data acquisition system, in: Proceedings of Computers and Ships - from Ship Design and Build, Through Automation and Management and onto Ship Support, 1999.
2. N.H. Pontoppidan, J. Larsen, Non-stationary condition monitoring through event alignment, in: IEEE Workshop on Machine Learning for Signal Processing, IEEE Press, Piscataway, NJ, 2004, pp. 499-508. 〈 URL http://www.imm.dtu.dk/ pubdb/p.php?3131 〉
3. A. Bell, T. Sejnowski, An Information-maximisation Approach to Blind Separation and Blind Deconvolution, 1995. 〈 URL http://citeseer.nj.nec.com/ 48796.html 〉
4. L. Molgedey, and H. Schuster Separation of a mixture of independent signals using time delayed correlations Physics Review Letters 72 23 1994 3634 3637
5. P. Højen-Sørensen, O. Winther, and L. Hansen Mean field approaches to independent component analysis Neural Computation 14 2002 889 918. 〈 URL http://www.imm.dtu.dk/pubdb/p.php?611 〉
6. M. Opper, and O. Winther Tractable approximations for probabilistic models: the adaptive Thouless-Anderson-Palmer mean field approach Physics Review Letters 86 2001 3695 3699. 〈 URL http://www.imm.dtu.dk/pubdb/p.php?614 〉
7. T. Kolenda, S. Sigurdsson, O. Winther, L. Hansen, J. Larsen, Dtu:toolbox, Internet (2002). 〈 URL http://mole.imm.dtu.dk/toolbox/ 〉
8. B. Ripley Pattern Recognition and Neural Networks 1996 Cambridge University Press Cambridge, MA
9. G. Schwarz Estimating the dimension of a model Annals of Statistics 6 1978 461 464
10. N.H. Pontoppidan, J. Larsen, T. Fog, Independent component analysis for detection of condition changes in large diesels, in: O.P. Shrivastav, B. Al-Najjar, R.B. Rao (Eds.), COMADEM 2003, COMADEM International, 2003, pp. 493-502. 〈 URL http://www.imm.dtu.dk/pubdb/p.php?2400 〉
11. C. Bishop, Novelty detection and neural network validation, in: IEE Proceedings - Vision Image and Signal Processing, vol. 141, 1994, pp. 217-222.
12. N.H. Pontoppidan, J. Larsen, S. Sigurdsson, Non-stationary condition monitoring of large diesel engines with the AEWATT toolbox, in: H.C. Pusey (Ed.), Essential Technologies for Successful Prognostics, 59th Meeting of the Society for Machinery Failure Prevention Technology, Society for Machinery Failure Prevention Technology, Winchester, VA, 22601, 2005, pp. 515-524. 〈 URL http://www.imm.dtu.dk/pubdb/p.php?3351 〉
13. N.H. Pontoppidan, and J. Larsen Unsupervised condition change detection in large diesel engines C. Molina T. Adali J. Larsen M. Van Hulle S. Douglas J. Rouat IEEE Workshop on Neural Networks for Signal Processing 2003 IEEE Press Piscataway, NJ 565 574. 〈 http://www.imm.dtu.dk/pubdb/p.php?2465 〉