Abstract
A new approach to monitoring of rolling bearings called adaptive vibration diagnostic technique is discussed in the paper. Diagnostic methods currently used for bearings monitoring have problems with damage identification caused by its insufficient effectiveness that is illustrated by industrial research study. It is briefly described the basic model of rolling bearing operation and new approach to its condition evaluation using operational transfer function. There is consideration of results of research study on laboratory test bench and trial applications for bearings of jet engine helicopter and swash plate. Results of the technique application on industrial aggregates are discussed. Main benefits of the adaptive technique are analyzed and its input to condition-based maintenance (CBM) is considered.
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References
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Acknowledgments
The paper uses materials related to research study No. 1.26 project of the project “Establishment of Transport Mechanical Engineering Competence Center” L-KC-11-0002 in cooperation with Investment and Development Agency of Latvia.
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© 2016 Springer International Publishing Switzerland
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Mironov, A., Doronkin, P., Priklonsky, A. (2016). Adaptive Vibration Diagnostic Technique for Bearings Condition Monitoring of Complicated Machines. In: Chaari, F., Zimroz, R., Bartelmus, W., Haddar, M. (eds) Advances in Condition Monitoring of Machinery in Non-Stationary Operations. CMMNO 2014. Applied Condition Monitoring, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-20463-5_32
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DOI: https://doi.org/10.1007/978-3-319-20463-5_32
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