Improved automated diagnosis of misfire in internal combustion engines based on simulation models

Mechanical Systems and Signal Processing

Volumn 64-65, Issue , 2015, Pages 58-83

  Chen, Jian ^a,b   Bond Randall, Robert ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Artificial neural networks; Internal combustion engines; Misfire diagnosis; Simulation; Torsional vibration

Indexed keywords

AUTOMATION; COMBUSTION; COMBUSTION EQUIPMENT; CRANKSHAFTS; ELASTIC WAVES; FAULT DETECTION; INTERNAL COMBUSTION ENGINES; MACHINE VIBRATIONS; NETWORK LAYERS; NEURAL NETWORKS; ROTATION; SIGNAL PROCESSING; VIBRATIONS (MECHANICAL);

ANGULAR ACCELERATION; AUTOMATED DIAGNOSIS; AUTOMATED DIAGNOSTIC SYSTEMS; FAULT LOCALIZATION; LINEAR TRANSFER FUNCTION; MULTI LAYER PERCEPTRON NETWORKS; SIMULATION; TORSIONAL VIBRATION;

ENGINES;

EID: 84937967936     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.02.027     Document Type: Article

References (54)

1. R.G. de Jong, R.E. Powell, J.E. Manning, Engine monitoring using vibration signals, SAE no. 861246, 1986.
2. R.H. Lyon, L.T. Kim, Recovery of fault signatures in diesel engines, SAE no. 880824, 1988.
3. J.T. Kim, and R.H. Lyon Cepstral analysis as a tool for robust processing, deverberation and detection of transients Mech. Syst. Signal Process. 6 1 1992 1 15
4. Y. Gao, and R.B. Randall Reconstruction of diesel engine cylinder pressure using a time domain smoothing technique Mech. Syst. Signal Process. 13 5 1999 709 722
5. P. Azzoni, and M. Marseguerra Assessment of the potential of a Wiener-Hilbert filter for automatic diagnosis of spark ignition engine faults Mech. Syst. Signal Process. 9 2 1995 119 128
6. J. Chang, M. Kim, and K. Min Detection of misfire and knock in spark ignition engines by wavelet transform of engine block vibration signals Meas. Sci. Technol. 13 7 2002 1108 1114
7. J. Antoni, J. Daniere, F. Guillet, and R.B. Randall Effective vibration analysis of IC engines using cyclostationarity Part II - New results on the reconstruction of the cylinder pressures J. Sound Vib. 257 6 2002 839 856
8. S.J. Citron, J.E. O'Higgins, L. Chen, Cylinder by cylinder engine pressure and pressure torque waveform determination utilizing speed fluctuations, SAE no. 890486, 1989.
9. H. Fehrenbach, Model-based combustion pressure computation through crankshaft angular acceleration analysis, in: Proceedings of the 22nd International Symposium on Automotive Technology and Automation, Florence, Italy, 1990, pp. 639-647.
10. T.S. Brown, W.S. Neill, Determination of engine cylinder pressures from crankshaft speed fluctuations, SAE no. 920463, 1992.
11. J. Williams, An overview of misfiring cylinder engine diagnostic techniques based on crankshaft angular velocity measurements, SAE paper 960039, 1996.
12. U. Kiencke Engine misfire detection Control Eng. Pract. 7 1999 203 208
13. J. Yang, L. Pu, Z. Wang, Y. Zhou, and X. Yan Fault detection in a diesel engine by analyzing the instantaneous angular speed Mech. Syst. Signal Process. 15 3 2001 549 564
14. J.J. Moskwa, W. Wang, and D.J. Bucheger A new methodology for engine diagnostics and control utilizing 'synthetic' engine variables: theoretical and experimental results Trans. ASME J. Dyn. Syst. Meas. Control 123 2001 528 534
15. A.W. Osburn, T.M. Kostek, and M.A. Franchek Residual generation and statistical pattern recognition for engine misfire diagnostics Mech. Syst. Signal Process. 20 8 2006 2232 2258
16. Y. Zhang, R.B., Randall, The in-cylinder pressure reconstruction and indicated torque estimation based on instantaneous engine speed and one measured in-cylinder pressure, in Proceedings of the COMADEM Conference, Faro, Portugal, June 12-15, 2007.
17. P. Charles, J.K. Sinha, F. Gu, L. Lidstone, and A.D. Ball Detecting the crankshaft torsional vibration of diesel engines for combustion related diagnosis J. Sound Vib. 321 3-5 2009 1171 1185
18. P. Charles, J.K. Sinha, F. Gu, and A.D. Ball Application of novel polar representation method for monitoring minor engine condition variations Mech. Syst. Signal Process. 24 3 2010 841 843
19. M. Desbazeille, R.B. Randall, F. Guillet, M. El Badaoui, and C. Hoisnard Model-based diagnosis of large diesel engines based on angular speed variations of the crankshaft Mech. Syst. Signal Process. 24 5 2010 1529 1541
20. J.K. Ball, M.J. Bowe, C.R. Stone, P.D. McFadden, Torque estimation and misfire detection using block angular acceleration, SAE technical paper no. 2000-01-0560, 2000.
21. V. Macián, M. Lerma, D. Barilá, Condition monitoring of thermal reciprocating engines through analysis of rolling block oscillations, SAE Technical paper no. 980116, 1998.
22. V. Macian, A. Broatch, B. Tormos, and P. Olmeda Methodology of fault detection in internal combustion engines through the analysis of rolling block oscillation Int. J. Heavy Veh. Syst. 16 3 2009 294 309
23. W.J. Hardman, C.G. Neubert, Detection of bearing faults in operational SH-60B aircraft main transmission module by vibration analysis, controls and diagnostics division, Air-4.4.2, United States Navy, Naval Airwar Center, Aircraft Division, TRENTON-LR-PPE-96-7, USA, 1996.
24. G.M. Knapp, and H.P. Wang Machine fault classification: a neural network approach Int. J. Prod. Res. 30 4 1992 811 823
25. B. Li, M.Y. Chow, Y. Tipsuwan, and J.C. Hung Neural-network-based motor rolling bearing fault diagnosis IEEE Trans. Ind. Electron. 47 5 2000 1060 1069
26. A.J. Hoffman, and N.T. Van der Merwe The application of neural networks to vibrational diagnostics for multiple fault conditions Comput. Stand. Interfaces 24 2 2002 139 149
27. B. Samanta, and K.R. Al-Balushi Artificial neural network based fault diagnostics of rolling element bearings using time domain features Mech. Syst. Signal Process. 17 2 2003 317 328
28. V. Crupi, E. Guglielmino, and G. Milazzo Neural-network-based system for novel fault detection in rotating machinery J. Vib. Control 10 8 2004 1137 1150
29. H. Nahvi, and M. Esfahanian Fault identification in rotating machinery using artificial neural networks Proc. Inst. Mech. Eng., Part C: J. Mech. Eng. Sci. 219 2 2005 141 158
30. J. Rafiee, F. Arvani, A. Harifi, and M.H. Sadeghi Intelligent condition monitoring of a gearbox using artificial neural network Mech. Syst. Signal Process. 21 4 2007 1746 1754
31. L.B. Jack, and A.K. Nandi Fault detection using support vector machines and artificial neural network, augmented by genetic algorithms Mech. Syst. Signal Process. 16 2-3 2002 373 390
32. R.B. Randall, The application of fault simulation to machine diagnostics and prognostics, Keynote lecture, in: Proceedings of the 16th International Congress on Sound and Vibration, Krakow, Poland, July 5-9, 2009.
33. J. Chen, R.B. Randall, B. Peeters, H. van der Auweraer, W. Desmet, Automated misfire diagnosis in engines using torsional vibration and block rotation, in: Proceedings of COMADEM, Huddersfield, UK, June, 18-20, 2012.
34. J. Chen, R.B. Randall, Use of block pseudo angular acceleration for engine misfire diagnosis, Acoustics, Victor Harbor, Australia, November 17-20, 2013
35. J. Chen, R.B. Randall, N. Feng, B. Peeters, H. van der Auweraer, Automated diagnostics of internal combustion engine using vibration simulation, Surveillance 7, Chartres, France, October 29-30, 2013.
36. K. Janssens, L. Britte, Comparison of torsional vibration measurement techniques, in: Proceedings of the International Conference on Noise and Vibration Engineering, Leuven, Belgium, September 17-19, 2012.
37. P.D. McFadden Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration Trans. ASME - J. Vib. Acoust., Stress Reliab. Des. 108 1986 165 170
38. P.J. Sweeney, and R.B. Randall Gear transmission error measurement using phase demodulation Proc. of the Inst. Mech. Eng., Part C: J. Mech. Eng. Sci. 210 C3 1996 201 213
39. A.Y.B. Sasi, F. Gu, B. Payne, and A.D. Ball Instantaneous angular speed monitoring of electric motors J. Qual. Maint. Eng. 10 2 2004 123 135
40. J. Bretl, P. Conti, Rigid body mass properties from test data, in: Proceedings of the 5th Intentional Modal Analysis Conference, London, England, 1987, pp. 655-659.
41. N. Okubo, T. Furukawa, Measurement of rigid body modes for dynamic design, in: Proceedings of the 2nd Intentional Modal Analysis Conference, Florida, USA, 1984, pp. 545-549.
42. A. Fregolent, and A. Sestieri Identification of rigid body inertia properties from experimental data Mech. Syst. Signal Process. 10 6 1996 697 709
43. M.C. Witter, D.L. Brown, and J.R. Blough Measuring the six DOF driving point impedance function and an application to RB inertia property estimation Mech. Syst. Signal Process. 14 1 2000 111 124
44. E. Mucchi, G. Bottoni, and R. di Gregorio Indirect measurement of the inertia properties of a knee prosthesis through a simple frequency-domain technique Trans. ASME: J. Med. Dev. 3 4 2009 044501.1 045001.7
45. R.A.B. Almeida, A.P.V. Urgueira, and N.M.M. Maia Further developments on the estimation of rigid body properties from experimental data Mech. Syst. Signal Process. 24 5 1999 1391 1408
46. P. Conti, and J. Bretl Mount stiffness and inertia properties from modal test data Trans. ASME: J. Vib. Acoust. Stress Reliab. Des. 111 1989 134 138
47. S.M. Pandit, and Z.Q. Hu Determination of rigid body characteristics from time domain modal test data J. Sound Vib. 177 1 1994 31 41
48. J. Chen, R.B. Randall, B. Peeters, H. Van der Auweraer, W. Desmet, Inertial property estimation by the modal model method, in: Proceedings of the International Conference on Noise and Vibration Engineering, Leuven, Belgium, 2012.
49. C.F. Taylor The Internal Combustion Engine in Theory and Practice: Combustion Fuel Material and Design vol. 2 1968 MIT press Cambridge Massachusetts, USA
50. J.I. Ghojel Review of the development and applications of the Wiebe function: a tribute to the contribution of Ivan Wiebe to engine research Int. J. Eng. Res. 11 4 2010 297 312
51. J. Chen, R.B. Randall, A vibration signal based simulation model for the misfire of internal combustion engines, CM and MFPT2011, Cardiff, UK, June 20-22, 2011.
52. J.P. Den Hartog Mechanical Vibrations 1985 Dover Publications New York, USA
53. W. Ker Wilson Practical Solution of Torsional Vibration Problems 1963 John Wiley and Sons Inc. New York, USA
54. F.D. Specht Probabilistic neural networks and the polynomial adaline as complementary techniques for classification IEEE Trans. Neural Netw. 1 1 1990 111 121