Abstract
The paper deals with condition-based maintenance modeling using vibration signature analysis. In manufacturing industry, due to continuous operation of machinery, the wear and tear occur in rotating/sliding elements of the system. Vibration signature analysis is an important tool for monitoring condition of these elements by analyzing complete system. In general, vibration analysis is an important way to detect and respond to maintenance needs. The elements in various mechanical power transmission system have a specific pattern of vibration that depends on the construction and condition of machine. An attempt is made in present work to monitor gearbox using the VA 12 analyzer, with FFT analysis through piezoelectric accelerometer PV 57I equipped with magnetic attachment. The signals are taken from experimental setup consisting of two-stage spur gear system. The vibration signals recorded from mechanical power transmission system with the help of accelerometer are in time domain. The variation in transmitted force is one of the most important mechanisms responsible for vibration. The type of fault/defect causes variation in the vibration signal. The monitoring of vibration signal gives the condition of system and predicted life of the system. This also helps in preventive maintenance policies to be adopted for prolonged usage of the system.
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Acknowledgements
This research work is supported by AICTE New Delhi (India) under the RPS project on Condition Monitoring using ferrography and Vibration Signature Analysis. The authors gratefully acknowledge the support and guidance of Dr. B. B. Ahuja, Director, College of Engineering Pune, Dr. Rajiv B., Head of Production Engineering and Industrial Management Department, and Dr. S. K. Basu, Professor Emeritus, College of Engineering Pune during the experimental work.
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Gholap, A.B., Jaybhaye, M.D. (2020). Condition-Based Maintenance Modeling Using Vibration Signature Analysis. In: Gupta, V., Varde, P., Kankar, P., Joshi, N. (eds) Reliability and Risk Assessment in Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-3746-2_10
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DOI: https://doi.org/10.1007/978-981-15-3746-2_10
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