Measurement and Analysis of Drilling Vibration Using Tracer DAQ and LABVIEW

Year 2016, Volume: 4 Issue: 2, 45 - 50, 07.04.2016

Mustafa Yagimli Aycan Kaya

Abstract

This study presents a vibration measurement system using Micro-Electro-Mechanical Systems (MEMS) accelerometer design to measure the vibration of a vibration source. The LABVIEW program is developed to monitor and analyze measured data. The program first acquires the analogue input signal from the three different channels, and reads the data to be analyzed. The obtained measurement data during the measurement is illustrated graphically by means of Tracer DAQ and LABVIEW. Therefore, as a result of the analysis, vibration data obtained by means of two different programs are compared. Some preliminary results of this endeavor are presented. The error evaluation of these accelerometers has been performed according to the Mean Absolute Percentage Error (MAPE) method. In the conducted evaluation, Accelerometer (Acc) 1 is 0.033%, Acc 2 is 0.019% and Acc 3 is 0.055%. We have reached that findings of proposed study are similar.

Keywords

Data acquisition, vibration analysis, vibration monitoring, accelerometer

References

• Analog Devices, www.analog.com/index.html, Analog Devices Inc. ADXL103/ADXL203 Series Datasheet (1995-2014).
• Analog Devices, www.analog.com/index.html, Analog Devices Inc. ADXL78 Series Datasheet. (1995-2014).
• MCC, www.mccdaq.com/index.html, Measurement Computing Corporation. USB-1208FS/LS/1408FS Series Datasheet, 2014.
• Anon. (2001). Acceleration Measurement, In Wiley Encyclopedia of Electrical and Electronic Engineering,Vol. 1. Webster JG, Editor. John Wiley & Sons, Inc.,New York, USA.
• De Lurgio, A. S. (1998). Forecasting Principles and Applications, Irwin McGraw-Hill, Singapore.
• Doebelin, E. O. (2003). Measurement Systems, Application and Design, McGraw Hiil, New York, USA.
• El-Wardany, T.I., Gao, D.&Elbestawi, M. A. (1996). Tool Condition Monitoring in Drilling Using Vibration Signature Analysis, International Journal of Machine Tools and Manufacturing, Vol. 36, (pp. 687-711).
• Ertunc, H. M. (1999). Techniques for Tool Wear Condition Monitoring in Drilling Operations, PhD thesis, Case Western Reserve University, USA.
• Ertunc, H.M. and Sevim, I. (2001). Studies on Tool Wear Condition Monitoring, Journal of Engineering Sciences, 7(1), (pp. 55-62).
• Fan, W. and Qiao, P. (2011). Vibration-based Damage Identifatication Methods: A Review and Comparative Study, Structural Health Monitoring, 10(1), (pp. 83-111).
• Nahmias, S. (1997). Production and Operations Analysis, McGraw-Hill International Editions. USA.
• Paddan , G.S. and Griffin, M.J. (2002). Evaluatin of Whole-Body Vibration in Vehicles, Journal of Sound and Vibration, 253(1), (pp. 195-213).
• National Instruments, LabVIEW user Manual, 2007.
• Stein, G.J., Chmúrny, R.&Rosík, V. (2007). Measurement and Analysis of Low Frequency Vibration, Measurement Science Review, 7 (4), (pp. 47-50).
• Stein, G.J., Chmúrny, R.&Rosík, V. (2011). Compact Vibration Measuring System for in-vehicle Applications, Measurement Science Review, 11 (5), (pp. 154-159).
• Zou, Y., Tong, L.&Steven, G.P. (2010). Vibration-Based Model-Dependent Damage (Delamination) Identication and Health Monitoring for Composite Structures-A Review, Journal of Sound and Vibration, 230(2), (pp. 357-378).