A Review on Engine Fault Diagnosis through Vibration Analysis

Main Article Content

Mahrousa M. Abdeltwab
Nouby M. Ghazaly

Abstract

Vehicles engine failure is disapproved problem for drivers, and repair of that needs experience to identify fault and troubleshooting. The fault diagnosis in a machine is significant for fending off dangerous damage. The vibration signals of a machine always carry the dynamic information of the machine. These vibration signals of internal combustion engines are extremely helpful for the feature extraction and detect the fault diagnosis. The former sensing of defects by supervising can keep farther harm to the internal combustion engine and deflect further causalities. The faults lead to reducing the engine performance and increasing the harmful pollution. In this paper, present techniques of a denoising method for vibration signal analysis that had been proposed such as fast Fourier transform (STFT), higher-order statistics (HOS), Wigner–Ville distribution (WVD), and wavelet transform (WT) and adaptive order-tracking.

Article Details

How to Cite
Mahrousa M. Abdeltwab, & Nouby M. Ghazaly. (2022). A Review on Engine Fault Diagnosis through Vibration Analysis . International Journal on Recent Technologies in Mechanical and Electrical Engineering, 9(2), 01–06. https://doi.org/10.17762/ijrmee.v9i2.364
Section
Review Paper

References

F. Delvecchio, S.; Bonfiglio, P.; Pompoli, “Vibro-acoustic condition monitoring of internal combustion engines: A critical review of existing techniques,†Mech. Syst. Signal Process, vol. 99, pp. 661–683, 2018.

Y. D. Li, L.; Chadli, M.; Ding, S.X.; Qiu, J.; Yang, “Diagnostic observer design for TS fuzzy systems: Application to real-time weighted fault detection approach,†IEEE Trans. Fuzzy Syst, p. 1, 2017.

H. A. Ettefagh, M.; Sadeghi, M.; Pirouzpanah, V.; Tash, “Knock detection in spark ignition engines by vibration analysis of cylinder block: A parametric modeling approach,†Mech. Syst. Signal Process., vol. 22, pp. 1495–1514, 2008.

B. Figlus, T.; Lišˇcák, Å .;Wilk, A.; Åazarz, “Condition monitoring of engine timing system by using wavelet packet decomposition of a acoustic signal,†J. Mech. Sci. Technol, vol. 28, pp. 1663–1671, 2014.

L. D’Ambrosio, S.; Ferrari, A.; Galleani, “In-cylinder pressure-based direct techniques and time frequency analysis for combustion diagnostics in IC engines 2015,†Energy Convers. Manag, vol. 99, pp. 299–312, 2015.

C. Desbazeille, M.; Randall, R.; Guillet, F.; El Badaoui, M.; Hoisnard, “Model-based diagnosis of large diesel engines based on angular speed variations of the crankshaft,†Mech. Syst. Signal Process., vol. 24, pp. 1529–1541, 2010.

A. Morgan, I.; Liu, H.; Tormos, B.; Sala, “Detection and diagnosis of incipient faults in heavy-duty diesel engines,†IEEE Trans. Ind. Electron, vol. 57, pp. 3522–3532., 2010.

E. K. Kalantzis N, Pezouvanis A, “Internal Combustion Engine Model for Combined Heat and Power (CHP) Systems Design,†Energies, 2017, [Online]. Available: https://doi.org/10.3390/en10121948.

B. G. Moosavian A, Najafi G, Ghobadian B, Mirsalim M. Najafi and M. Mirsalim, “The effect of piston scratching fault on the vibration behavior of an IC engine,†Appl Acoust, vol. 126, pp. 91–100, 2017.

Ö. Kaynakli and I. Horuz, “An experimental analysis of automotive air conditioning system,†Int. Commun. Heat Mass Transf., vol. 30, no. 2, pp. 273–284, 2003, doi: 10.1016/S0735-1933(03)00038-1.

“Detection Malfunction of Ignition System in an Internal Combustion Engine via Artificial Intelligent Model.â€

M. J. Corinthios, “A fast Fourier transform for high-speed signal processing,†IEEE Trans. Comput. C20, pp. 843–846, 1971.

G. Swami, A., Giannakis, G. B., & Zhou, “Bibliography on higher order statistics,†Signal Processing, vol. 60, pp. 65–126, 1997.

F. Bai, M., Huang, J., Hong, M., & Su, “Fault diagnosis of rotating machinery using an intelligent order tracking system,†J. Sound Vib., vol. 280, pp. 699–718, 2005.

R. Wu, J. D., Huang, C. W., Huang, “An application of a recursive Kalman filtering algorithm in rotating machinery fault diagnosis,†NDT E Int., vol. 37, pp. 411–419, 2004.

M. Portnoff, “Time-frequency representation of digital signals and systems based on short-time Fourier analysis,†IEEE Trans. Acoust. Speech, Signal Process. ASSP, vol. 28, pp. 55–69, 1980.

G. R. Staszewski, W. J., Worden, K., & Tomlinson, “Time-frequency analysis gearbox fault detection using the Wigner Ville distribution and pattern recognition,†Mech. Syst. Signal Process., vol. 11, no. 5, pp. 673–692, 1997.

A. Andria, G., Savino, M., Trotta, “Application of Wigner Ville distribution to measurements on transient signals,†IEEE Trans. Instrum. Meas., vol. 43, pp. 187–193., 1994.

N. Chen, C., Sun, C., Zhang, Y., & Wang, “Fault diagnosis for large-scale wind turbine rolling bearing using stress wave and wavelet analysis,†in ICEMS 2005 Proceedings of the Eighth International Conference on Electrical Machines and Systems, 2005, pp. 2239–2244.

L. Lin, J., & Qu, “Feature extraction based on Morlet wavelet and its application for mechanical diagnosis,†J. Sound Vib., vol. 234, no. 1, pp. 135–148, 2000.

A. S. Prabhakar, S., Mohanty, A. R., & Sekhar, “Application of discrete wavelet transform for detection of ball bearing race faults,†Tribol. Int., vol. 35, pp. 793–800, 2002.

H. Y. Tse, P. W., Yang, W. X., & Tam, “Machine fault diagnosis through an effective exact wavelet analysis,†J. Sound Vib., vol. 277, pp. 1005–1024., 2004.

J. C. Wu, J. D., & Chen, “Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines,†NDT E Int., vol. 39, pp. 304–311, 2006.

K. P. Ramachandran, T. and Padmanaban, “Review on Internal Combustion Engine Vibration and Monitoring. International Journal of Engineering and Science,†Emerg. Technol., vol. 3, pp. 63–73, 2012.

K. L. P. Tharanga, S. Liu, S. Zhang, and Y. Wang, “Diesel Engine Fault Diagnosis with Vibration Signal,†pp. 2031–2042, 2020, doi: 10.4236/jamp.2020.89151.

J. Pablo and A. H. Adeli, “Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures,†Arch. Comput. Methods Eng., pp. 1–15, 2016, doi: 10.1007/s11831-014-9135-7.

D. Siano, “Detection Diagnostic method by using vibration analysis for pump fault Assessing the feasibility of using the heat demand-outdoor detection temperature function for a long-term district heat demand forecast Diagnostic method by using vibration analysis pu,†Energy Procedia, vol. 148, no. Ati, pp. 10–17, 2018, doi: 10.1016/j.egypro.2018.08.013.

N. M. Ghazaly, A. O. Moaaz, M. M. Makrahy, M. A. Hashim, and M. H. Nasef, “Prediction of misfire location for SI engine by unsupervised vibration algorithm,†Appl. Acoust., vol. 192, p. 108726, 2022, doi: 10.1016/j.apacoust.2022.108726.

R. Itzhaki and E. Sher, “Fault Detection in Internal Combustion Engines by the Vibrations Analysis Method,†SAE Tech., no. 724, 2018.

K. V Gangadharan, “Fault diagnosis of internal combustion engine gearbox using vibration signals based on signal processing techniques,†2019, doi: 10.1108/JQME-11-2019-0109.