Inferring the global and partial system condition by means of multidimensional condition monitoring

• Autorzy: Cempel C.
• Konferencja: Symposium Vibrations In Physical Systems (23 ; 28-31.05.2008 ; Będlewo koło Poznania ; Polska)
• Języki publikacji: EN

Abstrakty

EN

Machines have many faults which evolve during its life (operation). If one observe some number of symptoms during the machine operation it is possible to capture needed fault oriented information. One of the methods to extract fault information from such symptom observation matrix (SOM) is to apply the singular value decomposition (SVD), obtaining in this way the generalized fault symptoms. The problem of this paper is to use the total damage symptom, being a sum of all generalized symptoms, and the first generalized symptom to infer better on machine condition. There was some new software created for this purpose, and some cases of machine condition monitoring have been considered as examples. Considering these it seems to the author, that both generalized symptoms should be used for the inference on machine condition. They are complimentary each other in some way, and should be use together to increase the reliability of diagnostic decision.

Słowa kluczowe

EN

condition monitoring; multidimensional observation; singular value decomposition; generalized fault symptoms

PL

monitorowanie stanu technicznego; obserwacja wielowymiarowa; rozkład według wartości osobliwych; uogólnione symptomy uszkodzeń

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2008
• Tom: Vol. 23
• Strony: 79--94
• Opis fizyczny: Bibliogr. 23 poz., wykr.

Twórcy

autor

Cempel C.

• Poznan University of Technology, Institute of Applied Mechanics, Division of Vibroacoustics and Biodynamics of Systems, Piotrowo 3 Street 60-965 Poznań, Poland

Bibliografia

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