A Proposed Method to Find Exciter’s Maximum Acceleration Magnitude on Vibration Meter Calibration System

Ninuk Ragil Prasasti, Denny Hermawanto

Abstract


National Measurement Standards-National Standardization Agency of Indonesia (SNSU-BSN) has implemented calibration method for vibration meters according to ISO 16063-21:2003. In this calibration system, an electrical signal at a particular frequency and magnitude is generated by the signal generator. Then it is amplified before converted into a mechanical vibration by the exciter. A vibration acceleration produced by the exciter is measured by the reference accelerometer as well as the vibration meter under test simultaneously. However, the maximum acceleration generated in the calibration system is affected and limited by several factors such as a total mass load of accelerometer, data acquisition system, displacement and velocity limits of an exciter. This paper presents the analysis of maximum acceleration produced by the exciter in the vibration meter calibration system considering the effect of those factors within a frequency range from 10 Hz to 5 kHz.

Keywords


exciter; acceleration; calibration; vibration meter

Full Text:

PDF

References


B&K. (1982). Measuring Vibration. Naerum Denmark: Bruel & Kjaer.

B&K. (2015). Technical Documentation for Vibration Exciter Type 4808. Naerum Denmark: Bruel & Kjaer.

B&K. (2006). System Data IDAe Hardware Configurationsfor PULSE Version 6.1. Naerum Denmark: Bruel & Kjaer.

Bartoli, C. (2014). Training for calibration of accelerometers by primary and secondary methods. LNE: Paris.

Bengherbia, B., Ouldzmirli, M., Toubal, A., & Guessoum, A. (2017). FPGA-based Wireless Sensor Nodes for Vibration Monitoring System and Fault Diagnosis. Measurement, 101, 81-92.

ISO 16063-21. (2003). Methods for the Calibration of Vibration and Shock Transducer Part 21-Vibration Calibration by Comparison to a Reference Transducer.

Karle, A. D., Bhoite, S. K., & Amale, A. B. (2014). An Analysis of Transducer Mass Loading Effect Inshaker Testing. Journal of Engineering Research and Applications, 4(6), 207–212.

Kusuma, W. P. (2015). Pengaruh Biaya Pemeliharaan Mesin Terhadap Laba Bersih Yang Diperoleh Pt. Karya Sawit Lestari Palembang. Tugas akhir, Universitas Bina Darma, Palembang.

Lent, B. (2009). Simple steps to selecting the right accelerometer. Sensors (Peterborough, NH), 26(3).

Mathew, J., & Mathew, S. G. (2015). Analysis of Failure Modes and Selection of Maintenance Strategy for Vital Machines in a Tea Industry. International Journal of Science Technology & Engineering, 2(05), 121–125.

Nahas, N. (2017). Buffer allocation and preventive maintenance optimization in unreliable production lines. Journal of Intelligent Manufacturing, 28(1), 85–93.

Shen, C., Wang, D., Kong, F., & Tse, P. W. (2013). Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier. Measurement: Journal of the International Measurement Confederation, 46(4), 1551–1564.

Sukendra, I. R. (2009). Pengaruh Biaya Pemeliharaan Mesin Terhadap Laba Operasional Pada Perusahaan Daerah Air Minum (Pdam) Bandung. Tugas akhir, Universitas Komputer Indonesia, Bandung.

Várkonyi-Kóczy, A. R., Szabó, J. Z., Nagy, I., & Rudas, I. J. (2012). Maintanance Analysis of Rotating and Moving Machines Using 3D Vibration Animation. IFAC Proceedings Volumes, 45(22), 584–589.

Xiao, X., Tang, B., & Deng, L. (2017). High accuracy synchronous acquisition algorithm of multi-hop sensor networks for machine vibration monitoring. Measurement, 102, 10–19.




DOI: http://dx.doi.org/10.31153/instrumentasi.v44i2.206

Copyright (c) 2020 Instrumentasi

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright &copy 2015 Jurnal Instrumentasi (p-ISSN: 0125-9202, e-ISSN:2460-1462). All Rights Reserved.



Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.