The application of kernel density estimates to condition monitoring for process industries

Proceedings of the American Control Conference

Volumn 6, Issue , 1998, Pages 3312-3316

  Chen, Q ^a   Goulding, P ^b   Sandoz, D ^b   Wynne, R ^a  

^a SHEFFIELD HALLAM UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL DENSITY; INDUSTRIAL CASE STUDY; INTELLIGENT CONDITION MONITORING; KERNEL DENSITY ESTIMATE; MULTIVARIATE PROCESS; NON-PARAMETRIC; PROCESS INDUSTRIES;

CONDITION MONITORING; INDUSTRIAL APPLICATIONS;

ESTIMATION;

EID: 0011755164     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.1998.703187     Document Type: Conference Paper

References (7)

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2. Silverman, B W; Density Estimation, 1986, Chapman & Hall, London
3. Wand, M P and Jones, M C; Multivariate plug-in bandwidth selection, Computational Statistics, 9, pp97-116, 1995
4. Sain, S. R.; Baggerley, K. A. and Scott, D. W., Cross-Validation of Multivariate Densities, J of American Statistical Associate, vol.89, No.427, pp807-817, Sept. 1994
5. Fukunaga, K; Introduction to Statistical Pattern Recognition, second edition, 1990, Academic Press, Inc., London
6. Wand, M P and Jones, M C; Kernel Smoothing, 1995, Chapman & Hall, London
7. Jackson, J E; A user's guide to principal Components, John Wiley & Sons, Inc., New York, 1991.