Detection of Tooth Crack Nucleation Using Bispectral Measures

• Autorzy: Jasinski M. , Radkowski S.
• Języki publikacji: EN

Abstrakty

EN

The objectives of the presented paper are to better understand the mechanism of failure development in the dynamic mechanical systems. It is important to consider carefully the present changes in a technical conditions of elements of the system when planning the requirements to a proactive risk managements strategy. While a dynamical system traditionally is modeled by structural decomposition, in the paper the dynamic behavior of system is modeled by decomposition of the behavior flow into events and errors accompanying occurrence of failure. From this point of view the nonlinear model of failure occurrence, made from Volterra Series, is analyzed to realizing long term benefits of a proactive maintenance strategy. The models describes the effect on the evolution at the process variables for each hypothesized fault failure. In the paper it is also analyzed the impact of nonlinearity of the sub-section on the behavior of the whole system by using of high-order spectra.

Słowa kluczowe

EN

risk management; proactive maintenance strategy; PMS; vibroacoustic signal of low energy failures; tooth crack nucleation

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Research
• Rocznik: 2013
• Tom: Vol. 37, No. 4
• Strony: 53--60
• Opis fizyczny: Bibliogr. 11 poz., wykr.

Twórcy

autor

Jasinski M.

• Institute of Vehicles, Warsaw University of Technology

autor

Radkowski S.

• Institute of Vehicles, Warsaw University of Technology

Bibliografia

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• 4. Radkowski S., Jasiński M. (2013) Use of Condition Monitoring in the Proactive Maintenance Strategy. Proc. of 8th World Congress on Engineering Asset Management (WCEAM 2013) 30.10-01.11.2013, Hong Kong, CD-ROM.
• 5. Jasinski M., Radkowski S. (2011) Use of the higher spectra in the low-amplitude fatigue testing. Mechanical Systems and Signal Processing 25 2:704-716, doi: 10.1016/ymssp.2010.06.001, 2011
• 6. Jasinski M., Radkowski S. (2010) Use of bispectral-based fault detection method in the vibroacoustic diagnosis of the gearbox. Engineering Asset Lifecycle Management 19:651-660, doi: 10.1007/978-0-85729-320-6_76
• 7. Maczak J. (2013) Local meshing plane analysis as a source of information about the gear quality. Mechanical Systems and Signal Processing, 38:154–164. doi: 10.1016/j.ymssp.2012.09.012
• 8. Maczak J. Radkowski S., (2001) Use of factorial simulation experiment in gearbox vibroacoustic diagnostics. Proceedings of the 14th International Congress of Condition Monitoring and Diagnostic Engineering Management, Manchester, UK.
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• 11. Schetzen M. (1980) The Volterra and Wiener Theories of Nonlinear Systems, New York: Wiley.