Multi symptom condition monitoring of a critical mechanical systems as a first approach to design condition inference agent (CIA)

• Autorzy: Cempel C.
• Konferencja: Diagnostics'04, III Międzynarodowy Kongres Diagnostyki Technicznej (6-9 września 2004, Poznań, Polska)
• Języki publikacji: EN

Abstrakty

EN

The paper presents the introductory results in application to multi fault condition monitoring of mechanical systems in operation, in particular internal combustion engines. This generalization to multi dimensionality and multi fault condition monitoring is possible by utilizing transformed symptom observation matrix, and by successive application of singular value decomposition (SVD) and based on it principal component analysis (PCA). On this basis one can make full ex-traction of fault related information taken from symptom observation matrix, which can be created by traditional monitoring technology. Moreover, by SVD/PCA we can create some independent fault measures and indices, and of overall system condition. In another words, full utilization of SVD/PCA enable us to pass from multi dimensional - non orthogonal symptom space, to or-thogonal generalized fault space, of much reduced dimension. This seems to be important, as it can increase the scope and the reliability of condition monitoring of critical system in operation. It enables also to maximize the amount of condition related information, and to redesign the tradi-tional condition monitoring system. At the end of the paper some introductory consideration are presented leading to a design of Condition Inference Agent (CIA), which will enable to infer in real time on condition of critical objects in operation.

Słowa kluczowe

EN

machine condition monitoring; vibration; faults; singular values; condition inference agent

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2004
• Tom: Vol. 30, T. 1
• Strony: 91--96
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Cempel C.

• Poznań University of Technology, Institute of Applied Mechanics, Piotrowo 3 Street, 60-965 Poznań,

Bibliografia

• [1] Cempel C., Innovative Developments in Systems Condition Monitoring, Keynote Lecture for DAMAS '99, Damage Assessment of Structure Conference, Dublin, June 1999.
• [2] Natke H. G., Cempel C., Symptom observation matrix for monitoring and diagnosis, Journal of Sound and Vibration, Vol.248, No 4, 2001, pp 597-620.
• [3] Cempel C., 1991, Vibroacoustical Condition Monitoring, Ellis Horwood Ltd., Chichester - New York, p. 201.
• [4] Natke H. G., Cempel C., 1997, Model - Aided Diagnosis of Mechanical Systems, Springer Verlag, p 300.
• [5] Cempel C., 2003, Multi Dimensional Condition Monitoring of Mechanical System in Operation, Mechanical Systems and Signal Processing, 2003, Vol. 17, No 6, pp 1291-1303.
• [6] Cempel C., 1990, Limit Value in Practice of Vibration Diagnosis, Mechanical Systems and Signal Processing, Vol 4, No 6, 1990, pp 483-493.
• [7] Kiełbasiński A., Schwetlick H., 1992, Linear Numerical Algebra, WNT, Warsaw, chapt., 1, (in Polish), p 502.
• [8] Agent Builder, Build it smarter, Internet; http://n….com/Documentation/whyAgent.html
• [9] Cempel C., Natke H. G., Yao J.P.T., Symptom Reliability and Hazard for System Condition Monitoring, Mechanical Systems and Signal Processing, 2000, Vol. 14, No 3, pp. 495-505.