Wear particle classification in a fuzzy grey system

Wear

Volumn 225-229, Issue PART II, 1999, Pages 1238-1247

  Peng, Z ^a   Kirk, T B ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Fuzzy logic; Grey system; Machine condition monitoring; Relational grade analysis; Wear particle classification

Indexed keywords

FUZZY SETS; LASER APPLICATIONS; MORPHOLOGY; PARTICLES (PARTICULATE MATTER); SCANNING ELECTRON MICROSCOPY;

FUZZY GREY SYSTEM; MACHINE CONDITION MONITORING; RELATIONAL GRADE ANALYSIS; WEAR PARTICLES;

WEAR OF MATERIALS;

CLASSIFICATION; FUZZY REASONING; PARTICLE; WEAR;

EID: 0009092618     PISSN: 00431648     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1648(98)00400-1     Document Type: Article

References (23)

1. Z. Peng, T.B. Kirk, Z.L. Xu, The development of three dimensional imaging techniques of wear particle analysis, Wear 203-204 (1997) 418-424.
2. Z. Peng, T.B. Kirk, Two-dimensional fast Fourier transform and power spectrum for wear particle analysis, Tribology International 30 (8) (1997) 583-590.
3. P. Podsiadlo, G.W. Stachowiak, Characterization of surface topography of wear particles by SEM stereoscopy, Wear 206 (1997) 39-52.
4. C.J.R. Sheppard, D.M. Shetton, Confocal Laser Scanning Microscopy, BIOS Scientific in Association with the Royal Microscopical Society, Oxford, 1997.
5. P.M. Delaney, M.R. Harris, R.G. King, Fiber-optic laser scanning confocal microscopy suitable for fluorescence imaging, Applied Optics 33 (4) (1994) 573-577.
6. Naval Air Engineering Center, Wear Particle Atlas, Report NAEC-92-163, 1982, revised edn.
7. X.Z. Jin, N.Z. Kang, A study on rolling bearing contact fatigue failure by macro-observation and micro-analysis, Wear of Materials, Proceedings of the International Conference on Wear of Materials, 1 (of 2), New York, USA, 1989, pp. 205-213.
8. J.J. Liu, Y. Chen, Y.Q. Cheng, The generation of wear debris of different morphology in the running-in process of iron and steels, Wear 154 (2) (1992) 259-267.
9. J.S. Stecki, M.L.S. Anderson, Machine condition monitoring using filtergram and ferrographic techniques, The Bulletin of the CMCM, Monash University 3 (1) (1991) 9.1-9.10.
10. J. Deng, Essential Topics on Grey System: Theory and Applications, Huazhong University of Science and Technology Press, Wuhan, 1987.
11. W. Bangchun, D. Zhishan, W. Chengxiu, Y. Shudong, An application of the theory of grey system to fault diagnosis of rotating machinery, the 1989 ASME Design Technical Conferences - 12th Biennial Conference on Mechanical Vibration and Noise, Montreal, Quebec, Canada, September 17-21, 1989, pp. 31-36.
12. M. Luo, B.T. Kuhnell, Forecasting machine condition using grey-system theory, Condition Monitoring and Diagnostic Technology 1 (3) (1991) 102-105.
13. B.T. Kuhnell, M. Luo, Diagnosis of machine fault using relational grade analysis in the grey-system theory, The Institution of Engineers Australia, Tribology Conference, Brisbane, December 3-5, 1990, pp. 122-126.
14. S. Cai, G. Tong, H. Gao, Technical Note - Grey system theory applied to rock mechanics, Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 30 (4) (1993) 473-478.
15. L.A. Zadeh, K. Fu, K. Tanaka, M. Shimura (Eds.), Fuzzy Sets and Their Applications to Cognitive and Decision Processes, US-Japan Seminar on Fuzzy Sets and Their Applications, Academic Press, New York, 1975.
16. D. Mcneill, P. Freiberger, Fuzzy Logic, Simon and Schuster, New York, 1993.
17. T.J. Ross, Fuzzy Logic with Engineering Applications, McGraw-Hill, New York, 1995.
18. R.J. Hathaway, J.C. Bezdek, NERF c-means: none-Euclidean relational fuzzy clustering, Pattern Recognition 27 (3) (1994) 429-437.
19. B. Kosko, Neural Networks and Fuzzy Systems, Prentice-Hall, Englewood Cliffs, 1992.
20. K. Stupka, M. Dohnal, A fuzzy knowledge base of ball bearing wear and its practical applications, Wear 156 (2) (1992) 239-250.
21. V.J. Lumelsky, A combined algorithm for weighting the variables and clustering in the clustering problem, Pattern Recognition 15 (2) (1982) 53-60.
22. W.S. Desarbo et al., Synthesized clustering: a method for amalgamating alternative clustering bases with differential weighting of variables, Psychometrika 49 (1) (1984) 57-78.
23. A.P.M. Coxon, The User's Guide to Multidimensional Scaling: with Special Reference to the MDS(X) Library of Computer Programs, Heinemann Educational Books, Exeter, NH, 1982.