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Cited by 38Machine Fault Diagnosis TechniquesFault Detection and Control SystemsStructural Health Monitoring Techniques

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Vibration Monitoring of Rotating Machines Using MEMS Accelerometer

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Bikash Chaudhury, Subimal, Sengupta, Mainak, Mukherjee, Kaushik·2014·International Journal of Scientific Engineering and Research
DOI 10.70729/j2013358
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Abstract

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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Research works printed but not linked: 17

  1. M. E. Elnady, J. K Sinha and S. O. Oyadiji, "Condition monitoring of rotating machines using on-shaft vibration measurement. In: Proceedings of the IMechE, 10th in- ternational conference on vibrations in rotating machin- ery, London, UK, 11-13 September 2012.
  2. A. Muszynska, "Vibrational Diagnostics of Rotating Machinery Malfunctions", International Journal of Ro- tating Machinery, vol1 Issue 3-4, pp 237-266, 1995
  3. J. K Sinha and K. Elbhbah "A future possibility of vibra- tion based condition monitoring of rotating machines", Mechanical Systems and Signal Processing, vol 34: pp 231-240, 2013.
  4. F. Jiang, W. Li, Z. Wang, and Z. Zhu, "Fault Severity Estima- tion of Rotating Machinery Based on Residual Signals," Advances in Mechanical Engineering, pp. 1-8, 2012.
  5. N. Tandon and A. Choudhury, "A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings," Tribology Interna- tional, vol. 32, pp. 469-480, 1999.
  6. W. R. Finley, M. M. Hodowanec, and W. G. Holter, "An analytical approach to solving motor vibration prob- lems," in IEEE-Ind. Appl. Society, 46th Annual Petrole- um and Chemical Industry Conf., Knoxville, TN, 13-15, pp. 217-232, Sept. 1999.
  7. G. Perrone and A. Vallan, "A low-cost optical sensor for noncontact vibration measurements," IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 5, pp. 1650-1656, 2009.
  8. T. K. Gangopadhyay, "Prospects for Fiber Bragg grat- ings and Fabry-Perot interferometers in fiber-optic vibra- tion sensing," Sensors and Actuators A, vol. 113, no. 1, pp. 20-38, 2004.
  9. J.P Sebastia, J.A. Lluch, J.R. Vizcaino and J.S. Bellon, "Vibration Detector Based on GMR Sensors", IEEE Transactions on Instrumentation and Measurement, vol. 58, no.3, 2009, pp 707-712.
  10. A. Albarbar, S. Mekid, A. Starr, and R. Pietruszkiewicz, "Suitability of MEMS accelerometers for condition monitor- ing: An experimental study," Sensors (Basel), PMCID: PMC3672998, vol. 8, no. 2, pp. 784-799, 2008.
  11. H.Xie, G. Fedder, "CMOS z-axis capacitive accelerome- ter with comb-finger sensing". In Proc. IEEE Micro Elec- tro Mechanical Systems (MEMS), 2000; pp. 496-501.
  12. V. Biefeld, A. Buhrdorf and J. Binder, "Laterally driven ac- celerometer fabricated in single crystalline silicon", Sensor Actuators, vol. 82(1), 149-154, 2000.
  13. J. Sinha, "On Standardisation of Accelerometers". Journal of Sound and Vibration 2005, 286, 417-427.
  14. S. E. Lyshevski, "MEMS and NEMS: systems, devices and structures" CRC Press LLC, USA, 2002.
  15. H. Luo, G. Fedder, and L. Carley, "A 1 mg lateral CMOS- MEMS accelerometer," Proceedings IEEE Thirteenth Annu- al International Conference on Micro Electro Mechanical Systems, 2000.
  16. Yazdi, N.; Ayazi, F.; Najafi, K. "Micromachined inertial sensors", Proc. IEEE, Vol.86, no. 8, pp. 1640-1659, 1998.
  17. F. Mohn-Yasin, C. E. Korman, and D. J. Nagel, "Meas- urement of noise characteristics of MEMS accelerome- ters," Solid-State Electronics, vol. 47, pp. 357-360, 2003.

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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
Publisher
International Journal of Scientific Engineering and Research
Published
2014-09-27
Volume
2
Issue
9
Pages
5-11
ISSN
2347-3878 (ISSN-L)
DOI
10.70729/j2013358
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
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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