Fault detection and diagnosis of diesel engine valve trains

Mechanical Systems and Signal Processing

Volumn 72-73, Issue , 2016, Pages 316-327

  Flett, Justin ^a   Bone, Gary M ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Automotive research; Condition monitoring; Diagnostics of mechanical systems; Engine fault diagnosis; Signal processing

Indexed keywords

COMBUSTION; CONDITION MONITORING; DIESEL ENGINES; ENGINES; INTERNAL COMBUSTION ENGINES; SIGNAL PROCESSING; VALVES (MECHANICAL);

BAYES CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; DETECTION ACCURACY; FAULT DETECTION AND DIAGNOSIS; FAULT DETECTION AND DIAGNOSIS SYSTEMS; MECHANICAL SYSTEMS; MULTIPLE FAULTS;

FAULT DETECTION;

EID: 84955463643     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.10.024     Document Type: Article

References (16)

1. K. Choi, S. Singh, A. Kodali, K.R. Pattipati, J.W. Sheppard, S.M. Namburu, S. Chigusa, D.V. Prokhorov, and Q. Liu Novel classifier fusion approaches for fault diagnosis in automotive systems IEEE Trans. Instrum. Meas. 58 2009 602 611
2. C.-H. Liu, and J.-D. Wu An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network Expert Syst. Appl. 36 2009 4278 4286
3. 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 2010 1529 1541
4. X. Wang, C. Liu, F. Bi, X. Bi, and K. Shao Fault diagnosis of diesel engine based on adaptive wavelet packets and EEMD-fractal dimension Mech. Syst. Signal Process. 41 2013 581 597
5. C. Svärd, M. Nyberg, E. Frisk, and M. Krysander Data-driven and adaptive statistical residual evaluation for fault detection with an automotive application Mech. Syst. Signal Process. 45 2014 170 192
6. J. Chen, and R. Bond Randall Improved automated diagnosis of misfire in internal combustion engines based on simulation models Mech. Syst. Signal Process. 64-65 2015 58 83
7. W. Wu, T.R. Lin, and A.C.C. Tan Normalization and source separation of acoustic emission signals for condition monitoring and fault detection of multi-cylinder diesel engines Mech. Syst. Signal Process. 64-65 2015 479 497
8. S. Liu, F. Gu, and A. Ball Detection of engine valve faults by vibration measured on the cylinder head Proc. Inst. Mech. Eng.: J. Automob. Eng. 220 2005 379 386
9. J. Jiang, F. Gu, R. Gennish, D.J. Moore, G. Harris, and A.D. Ball Monitoring of diesel engine combustions based on the acoustic source characterisation of the exhaust system Mech. Syst. Signal Process. 22 2008 1465 1480
10. C. Wang, Y. Zhang, and Z. Zhong Fault diagnosis for diesel valve trains based on time-frequency images Mech. Syst. Signal Process. 22 2008 1981 1993
11. Q. Wang, Y. Zhang, L. Cai, and Y. Zhu Fault diagnosis for diesel valve trains based on non-negative matrix factorization and neural network ensemble Mech. Syst. Signal Process. 23 2009 1683 1695
12. Y. Li, P.W. Tse, X. Yang, and J. Yang EMD-based fault diagnosis for abnormal clearance between contacting components in a diesel engine Mech. Syst. Signal Process. 24 2010 193 210
13. F. Elamin, Y. Fan, F. Gu, and A. Ball Diesel engine valve clearance detection using acoustic emission Adv. Mech. Eng. 2010 Article ID 495741, 7 pp, 10.1155/2010/495741
14. E. Ftoutou, M. Chouchane, and N. Besbès Internal combustion engine valve clearance fault classification using multivariate analysis of variance and discriminant analysis Trans. Inst. Meas. Control 34 2012 566 577
15. R.O. Duda, P.E. Hart, and D.G. Stork Pattern Classification second ed. 2002 John Wiley & Sons Hoboken
16. C.M. Bishop Pattern Recognition and Machine Learning 2006 Springer New York