Abstract
Vibration monitoring is necessary for any system for its effective performance, product quality, safety and life span. It helps to diagnose the health of system for any predictive maintenance needed. This paper presents the analysis of vibration signal using fast Fourier transform (FFT). Frequency spectrum of vibrating source gives information of the vibration level. The natural frequency of the vibrating source was found to be 17 Hz with total harmonic distortion (THD) of 0.000177%. The analysis was carried out using NI LabVIEW software.
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References
Song Q, Zhou DH, Niu BL, Zhu CC (2004) Uncertainties in the vibration acceleration measurement. In: Instrumentation and measurement technology conference (IMTC), Como, Italy, 18–20 May 2004
Usuda T, Imai H (2007) Activities of new TC22 “vibration measurement. In: SICE Annual conference 2007, September 17–20, 2007, Kagawa University, Japan
Chen J, Hu X, Xu L (2008) Research of distributed curvature modal sensors with optical fiber on vibration measurement for thin structures. In: The 3rd intetnational conference on innovative computing information and control, 2008
Uchimura Y, Nasu T, Takahashi M (2008) “EEE 802.11 timing synchronization based wireless sensor system for vibration measurement. In: SICE annual conference , August 20–22, 2008
Kurytnik I, Borowik B, Karpinski M (2009) Deploying ZigBee sensor network for vibration measurement. IN: 10th International conference–the experience of designing and application of CAD systems in microelectronics
Sivakumar S, Haran AP (2015) Aircraft random vibration analysis using active landing gears. J Low Frequency Noise Vibr Active Control 34(3):307–322
Zhou H, Qiu Y (2015) A simple mathematical model of a vehicle with seat and occupant for studying the effect of vehicle dynamic parameters on ride comfort. In: 50th United Kingdom conference on human responses to vibration, held at ISVR, University of Southampton, Southampton, England, 9–10 September 2015
Zhang H, Gao R, Zhang J, Wang L (2009) Vibration analysis for switched reluctance motor system based on finite element and FFT. In: Proceedings of IEEE international conference on mechatronics and automation, August 9–12, Changchun, China
Sabato A (2015) Pedestrian bridge vibration monitoring using a wireless MEMS accelerometer board. In: Proceedings of IEEE 19th international conference on computer supported cooperative work in design (CSCWD)
Wada A, Tanaka S, Takahashi N (2016) Multipoint vibration sensing using fiber bragg gratings and current-modulated laser diodes. J Lightwave Technol 34(19)
Rota-Rodrigo S, L´opez-Aldaba A, Ana P´erez-Herrera R, Carmen L´opez Bautista M, ´Esteban O, L´opez-Amo M (2016) Simultaneous measurement of humidity and vibration based on a microwire sensor system using fast fourier transform technique. J Lightwave Technol 34(19)
Bayya SS, Vedaraj ISR, Sivasubramanian K (2013) Vibration monitoring mathematical modelling and analysis of rotating machinery. Int J Adv Res Electri Electron Instrum Eng 2(4)
Maruthi GS, Hegde V (2013) Mathematical analysis of unbalanced magnetic pull and detection of mixed air gap eccentricity in induction motor by vibration analysis using MEMS accelerometer. In: IEEE 1st international conference on condition assessment techniques in electrical systems 2013
Jingjing H, Jiayun X, Can Z, Haifeng B, Yiqian Y (2016) Research on equivalent simplified model of multi-level vertical isolated structure under Heavy-haul train vibration. In: IEEE International conference on intelligent transportation engineering
Lin H-C, Ye Y-C, Huang B-J, Jia-Lun Su (2016) Bearing vibration detection and analysis using enhanced fast fourier transform algorithm. Adv Mech Eng 8(10):1–14
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Kumari, S. (2021). Vibration Measurement Using Accelerometer Sensor and Fast Fourier Transform. In: Chakraborty, M., Jha, R.K., Balas, V.E., Sur, S.N., Kandar, D. (eds) Trends in Wireless Communication and Information Security. Lecture Notes in Electrical Engineering, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-33-6393-9_28
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DOI: https://doi.org/10.1007/978-981-33-6393-9_28
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