Reza Golafshan, G. Jacobs, Matthias Wegerhoff, P. Drichel, J. Berroth
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引用次数: 11
Abstract
The present study aims to combine the fields modal analysis and signal processing and to show the use of Frequency Response Function (FRF), as a vibration transfer path, in enhancing reliability and abilities of the next generation vibration-based rolling bearing condition monitoring (CM) systems in complex mechanical systems. In line with this purpose, the hereby-presented paper employs an appropriate numerical model, that is, Multibody Simulation (MBS) of a vehicle’s drivetrain as a manner for numerical modal and structural analyses. For this, first, the principles of vibration-based bearing fault detection are reviewed and presented. Following that, a summary of MBS modelling and validating strategies are given. Then, the validated MBS model is used as a case study for further investigations. The results can confirm existence of challenges in fault detection of rolling bearings, in particular in complex mechanical systems. In further discussions, the capability of FRFs in fault localization and determination of ideal sensor positions is discussed in some detail. Finally, concluding remarks and suggestions for future works are summarized.
期刊介绍:
This comprehensive journal provides the latest information on rotating machines and machine elements. This technology has become essential to many industrial processes, including gas-, steam-, water-, or wind-driven turbines at power generation systems, and in food processing, automobile and airplane engines, heating, refrigeration, air conditioning, and chemical or petroleum refining. In spite of the importance of rotating machinery and the huge financial resources involved in the industry, only a few publications distribute research and development information on the prime movers. This journal is the first source to combine the technology, as it applies to all of these specialties, previously scattered throughout literature.