Abstract
Due to Higher Productivity and High Speed of Machinery, requirement of Resonant conditions are necessary to ensure safety margins of Machines. Hence here we proposed a vibration measurement kit which is used to monitor the health of vehicle engines through remotely. Every engine should have its own withstanding limit but how reliable it is, is the matter. When using vibration to observe engine health, the objective is to correlate observable vibration with typical wear-out mechanisms, such as bearings, gears, chains, belts, shafts etc. From this vibration measurement kit will get more information through remotely about the engine vibration to take action. The MEMS accelerometer based vibration sensor is used for vibration measurement. This sensor is used to collect the vibration data from the engine. The data can be acquired through 12 bit data acquisition device with the sampling rate of 8 kHz. Then Fast Fourier Transform (FFT) takes place to convert time domain data (acquired input data) to frequency spectral data. From the baseline of the signal the set point is fixed with tolerance of (+5, −5)%, whenever the engine vibration crosses the high and low level vibration set point it will generate the Time Transfer Logic (TTL) output pulse for second. The TTL output is used to count the number of times the engine vibration crosses its limit, depends on that the reliability of engine is being calculated.
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References
Sinha, J.K., Elbhbah, K.: A future possibility of vibration based condition monitoring of rotating machines. Mech. Syst. Sig. Process. 34, 231–240 (2013)
Elnady, M.E., Sinha, J.K., Oyadiji, S.O.: Condition monitoring of rotating machines using on-shaft vibration measurement. In: Proceedings of the IMechE, 10th International Conference on Vibrations in Rotating Machinery, London, UK, 11–13 Sept 2012
Jiang, F., Li, W., Wang, Z., Zhu, Z.: Fault severity estimation of rotating machinery based on residual signals. Adv. Mech. Eng. 4, 1–8 (2012)
Divya, M., Ramgowri, S., Mangayarkarasi, T., Juliet, A.V.: A novel method of vibration measurement using MEMS accelerometer. In: International Conference on Computing and Control Engineering (ICCCE 2012), 12–13 Apr 2012
Perrone, G., Vallan, A.: A low-cost optical sensor for noncontact vibration measurements. IEEE Trans. Instrum. Measur. 58(5), 1650–1656 (2009)
Sebastia, J.P., Lluch, J.A., Vizcaino, J.R., Bellon, J.S.: Vibration detector based on GMR sensors. IEEE Trans. Instrum. Measur. 58(3), 707–712 (2009)
Stein, G., Chmúrny, R., Rosík, V.: Measurement and analysis of low frequency vibration. Measur. Sci. Rev. 7(3, 4) (2007)
Arraigada, M., Partl, M.: Calculation of displacements of measured accelerations, analysis of two accelerometers and application in road engineering. In: Conference Paper STRC (2006)
Sinha, J.: On standardisation of accelerometers. J. Sound Vib. 286, 417–427 (2005)
Mohn-Yasin, F., Korman, C.E., Nagel, D.J.: Measurement of noise characteristics of MEMS accelerometers. Solid-State Electron. 47, 357–360 (2003)
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Biradar, P., Basavraj, P., Murugan, N., Ram B., K., Sharma, N., Bacher, G.G. (2020). Remote Enabled Engine Vibration Measurement System. In: Auer, M., Ram B., K. (eds) Cyber-physical Systems and Digital Twins. REV2019 2019. Lecture Notes in Networks and Systems, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-23162-0_58
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DOI: https://doi.org/10.1007/978-3-030-23162-0_58
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