Extraction Methods of Multi - Fault Information in Machine Condition Monitoring

Abstract:

Article Preview

Info:

Periodical:

Key Engineering Materials (Volumes 245-246)

Edited by:

J.M. Dulieu-Barton, M.J. Brennan, K.M. Holford and K. Worden

Pages:

215-222

Citation:

C. Cempel et al., "Extraction Methods of Multi - Fault Information in Machine Condition Monitoring ", Key Engineering Materials, Vols. 245-246, pp. 215-222, 2003

Online since:

July 2003

Export:

Price:

$38.00

[1] Cempel C., 1999, Innovative Developments in Systems Condition Monitoring, Keynote Lecture for DAMAS' 99, Damage Assessment of Structures, Conference, Dublin, June 1999, pp.172-188.

[2] Kiełbasi� ski A., Schwetlick H., 1992, Linear Numerical Algebra, WNT, Warsaw, chapt. 1 , (in Polish), 502pp.

[3] Natke H., Cempel C., Symptom observation matrix for monitoring and diagnosis, Journal of Sound and Vibration, Vol. 248, No 4, 2001, pp.597-620.

DOI: https://doi.org/10.1006/jsvi.2001.3800

[4] Cempel C., Multi Dimensional Condition Monitoring of Mechanical Systems in Operation, Mechanical Systems and Signal Processing, in print, (2003).

[5] Cempel C., Vibroacoustic Condition Monitoring, Ellis Horwood, New York, 1991, 212pp.

[6] Takane Y., Shibayama, T., Principal Component Analysis with External Information on Both Subject and Variables, Psychometrica, Vol. 56, No 1, pp.97-120.

DOI: https://doi.org/10.1007/bf02294589

[7] Takane Y., Hunter M. A., Constrained Principal Component Analysis: A Comprehensive Theory, Applicable Algebra in Engineering Communication and Computing, Springer Verlag, No 12, 2001, pp.391-419.

DOI: https://doi.org/10.1007/s002000100081