A Study of Engine Monitoring System Using Statistical Method

Abstract:

Various condition monitoring techniques were applied during a laboratory engine test in order to understand the wear processes occurring and to determine a suitable method which could be applicable to the detection and diagnosis of abnormal engine condition in practice. The goal of the research presented in this study is to monitor the internal combustion engine block. The proposed engine block approach is based on measuring and monitoring the engine operation in variable speed and torque using Piezoelectric Sensor. However, it normally requires analyzing the obtained signal for providing valuable information. This research involves two main procedures including data collecting as well as data analyzing. Data collecting is processes of sensor attach, run the engine and record the data while data analyzing is translating the data using data acquisition and filtering by fast furrier transform and analyzing by I-kaz and MZN methods.

• Periodical: Applied Mechanics and Materials (Volume 471)
• Pages: 193-196
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.471.193
• Online since: December 2013
• Authors: Mohd Zaki Nuawi, Nor Kamaliana Khamis, Z. Zali, Wan Mohd Faizal Wan Mahmood, Shahrum Abdullah, Zulkifli Mohd Nopiah
• Keywords: Condition Monitoring, Engine, I-Kaz, MZN Methods

References

[1] N.K. Khamis, M.Z. Nuawi, S. Abdullah, Z.M. Nopiah, and L. Abdullah, Signal Analysis Software as an Educational Tool for Engine Diagnostic System. International Review of Mechanical Engineering, 6 (2012) 666-670.

[2] S. B. Devasenapati, V. Sugumaran, and K.I. Ramachandran, Misfire identification in a four stroke four cylinder petrol engine using decision tree. Expert systems with applications, 37 (2010) 2150-2160.

DOI: 10.1016/j.eswa.2009.07.061

[3] Information on http: /www. optimum-power. com/ICEView_white_paper. pdf.

[4] M.Z. Hafizi, C.K.E. Nizwan, and D.M. Firdaus, A Study of Acoustic Emission Intensity Effect during Fuel Injector Fault. National Conference in Mechanical Engineering Research and Postgraduate Students (1st NCMER 2010) 26-27 May 2010, FKM Conference Hall, UMP, Kuantan, Pahang, Malaysia, 495-501.

[5] K.J. Stout, and T.A. Spedding, 1982. The Characterization of Internal Combustion Engines Bores, Wear 83, 311-326.

DOI: 10.1016/0043-1648(82)90186-7

[6] B. Sammy and G. Rizzoni. Mechanical Signature Analysis Using Time-Frequency Signal Processing: Application to Internal Combustion Engine Knock Detection. Proc. IEEE, 84 (1996) 1330-1343.

DOI: 10.1109/5.535251

[7] M. Z. Nuawi, M. J. M. Nor, N. Jamaluddin, S. Abdullah, F. Lamin, C. K. E. Nizwan Development of Integrated Kurtosis-based Algorithm for Z-filter Technique, Journal of Applied Sciences. 9 (2008).

DOI: 10.3923/jas.2008.1541.1547