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Vibration Monitoring of Rotating Machines Using MEMS Accelerometer
Open accessAbstract
Heavy industries face major problems since different types of mechanical failures can originate in rotating machines. Analytical approaches have demonstrated that vibration monitoring has tremendous potential in detecting and localizing defects in the machines. There are different technologies available for vibration sensing. Though MEMS accelerometer is slowly becoming an alternate method for vibration monitoring of rotating machines, yet it has not been fully explored for a much wider application base. This paper proposes the basic design for the development of a low cost MEMS accelerometer based vibration sensor by integrating the basic sensor and intelligence of vibration analysis, together. This module can easily be deployed for different rotating machines for vibration monitoring. Sensitivity of the sensor, effectiveness of the proposed intelligence in signal processing and their performance are tested for a 7.5KW, 3φ, 440V, 4 pole squirrel-cage induction motor. The experiments are carried out to check the ability to detect the fault frequency peaks under different fault combinations.The results presented here are found to be highly promising.
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“It requires low processing power and provides superior sensitivity [41].”
From Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review (2021) · cites this paper as [41]
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Cited by
Sorted by citations
Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review
Mohd Ghazali, M. H., & Rahiman, W. (2021) · Shock and Vibration · doi:10.1155/2021/9469318 · Cited by 249
“MEMS accelerometer usually consists of movable proof mass with plates, supported by a mechanical suspension system to the frame [41].”
BackgroundMethodInfluentialScuro, C., Lamonaca, F., Porzio, S., Milani, G., & Olivito, R. S. (2021) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2021.123092 · Cited by 136
Bedon, C., Bergamo, E., Izzi, M., & Noè, S. (2018) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan7030030 · Cited by 120
Strauss, P., Schmitz, M., Wöstmann, R., & Deuse, J. (2018) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2018.8622076 · Cited by 89
RED: RFID-Based Eccentricity Detection for High-Speed Rotating Machinery
He, Y., Zheng, Y., Jin, M., Yang, S., Zheng, X., & Liu, Y. (2019) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2019.2962770 · Cited by 40
Metadata
- Authors
- Bikash Chaudhury, S., Sengupta, M., & Mukherjee, K.
- Affiliations
- Indian Institute of Engineering Science and Technology, Shibpur (IN)
- ORCID
- Mukherjee, Kaushik
- Venue
- International Journal of Scientific Engineering and Research
- Published
- 2014-09-27
- Volume
- 2
- Issue
- 9
- Pages
- 5-11
- ISSN
- 2347-3878 (ISSN-L)
- OpenAlex
- W4405139749
- Cited by
- 38
- References
- 0
- Citations by year
- 2026: 3 · 2024: 3 · 2023: 5 · 2022: 2 · 2021: 7 · 2020: 4 · 2019: 4 · 2018: 3 · 2017: 3 · 2016: 4
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Scientific Engineering and Research (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Keywords
- vibration monitoring, MEMS accelerometer, rotating machinery, fault detection, squirrel cage induction motor, signal processing, mechanical fault diagnosis
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