Fault feature and diagnostic method of bending micro- deformation of crankshaft of piston engine

References

• Witek L, Sikora M, Stachowicz F, et al. Stress and failure analysis of the crankshaft of diesel engine. Eng Fail Anal. 2017;82:703–712.
   Web of Science ®Google Scholar
• Li W, Yan Q, Xue J. Analysis of a crankshaft fatigue failure. Eng Fail Anal. 2015;55:139–147.
   Web of Science ®Google Scholar
• Yu Z, Xu X. Failure investigation of a truck diesel engine gear train consisting of crankshaft and camshaft gears. Eng Fail Anal. 2010;17(2):537–545.
   Web of Science ®Google Scholar
• Fonte M, Infante V, Reis L, et al. Failure mode analysis of a diesel motor crankshaft. Eng Fail Anal. 2017;82:681–686.
   Web of Science ®Google Scholar
• Hassan SF, Alam MR. Failure analysis of gearbox and clutch shaft from a marine engine. J Fail Anal Prev. 2010;10(5):393–398.
   Google Scholar
• Chien W. Fatigue analysis of crankshaft sections under bending with consideration of residual stresses. Int J Fatigue. 2005;27(1):1–19.
   Web of Science ®Google Scholar
• Choi KS, Pan J. Effects of pressure-sensitive yielding on stress distributions in crankshaft sections under fillet rolling and bending fatigue tests. Int J Fatigue. 2009;31(10):1588–1597.
   Web of Science ®Google Scholar
• Chiliński B, Zawisza M. Analysis of bending and angular vibration of the crankshaft with a torsional vibrations damper. J Vibro Eng. 2016;18(8):5353–5363.
   Web of Science ®Google Scholar
• Kareem B. Mechanical failure analysis of automobile crankshafts under service reconditioned modelling approach. Eng Fail Anal. 2017;80:87–101.
   Web of Science ®Google Scholar
• Chen X, Yu X, Hu R, et al. Statistical distribution of crankshaft fatigue: experiment and modeling. Eng Fail Anal. 2014;42:210–220.
   Web of Science ®Google Scholar
• He Z, Gong W, Xie W, et al. NVH and reliability analyses of the engine with different interaction models between the crankshaft and bearing. Appl Acoust. 2016;101:185–200.
   Web of Science ®Google Scholar
• Bellakhdhar B, Dogui A, Ligier J-L. A simplified coupled crankshaft–engine block model. Comptes Rendus Mécanique. 2013;341(11–12):743–754.
   Web of Science ®Google Scholar
• Gongzhi Y, Hongliang Y, Shulin D. Crankshaft dynamic strength analysis for marine diesel engine. 2011;795–799. DOI:10.1109/icmtma.2011.200.
   Google Scholar
• Peng L, Yingyun H, Guidong K. Crankshaft strength calculation based on multi-body systems dynamic analysis and finite element analysis. International Conference on Advanced Technology of Design and Manufacture, ATDM 2010; Beijing, China; 2010; p. 222–224.
   Google Scholar
• Spiteri P, Ho S, Lee Y. Assessment of bending fatigue limit for crankshaft sections with inclusion of residual stresses. Int J Fatigue. 2007;29(2):318–329.
   Web of Science ®Google Scholar
• Zakharov SM. Multiple-support shafts with journal bearings: A simulation and evaluation of their performance. J Frict Wear. 2017;38(3):195–201.
   Web of Science ®Google Scholar
• Khameneh MJ, Azadi M. Evaluation of high-cycle bending fatigue and fracture behaviors in EN-GJS700-2 ductile cast iron of crankshafts. Eng Fail Anal. 2018;85:189–200.
   Web of Science ®Google Scholar
• Fonte M, Duarte P, Anes V, et al. On the assessment of fatigue life of marine diesel engine crankshafts. Eng Fail Anal. 2015;56:51–57.
   Web of Science ®Google Scholar
• Yong L, Saifei Z. Measurement and diagnostic system for crankshaft of diesel engine. Int Conf Comput Appl Syst Model Proc. 2010;13: V13370–V13371.
   Google Scholar
• Wang C-H, Pei Y-C, Tan Q-C, et al. An improved high precision measuring method for shaft bending deflection. Appl Math Modell. 2017;48:860–869.
   Web of Science ®Google Scholar
• Yang J, Pu L, Wang Z, et al. Fault detection in a diesel engine by analysing the instantaneous angular speed. Mech Syst Signal Process. 2001;15(3):549–564.
   Web of Science ®Google Scholar
• Lin X. Design manual of diesel engine. Beijing, China: National Defense Industry Press; 1982. p. 484–487.
   Google Scholar
• Hongwen L. Material mechanics. 4th ed. Beijing, China: Higher Education Press; 2004. p. 140–150.
   Google Scholar
• Boukhobza ME, Derouiche Z, Foitih ZA. Location and evaluation of bearings defects by vibration analysis and neuralnetworks. Mechanika. 2013;19(4):459–465.
   Google Scholar
• Chalouli M, Berrached N-E, Denai M. Intelligent health monitoring of machine bearings based on feature extraction. J Fail Anal Prev. 2017;17(5):1053–1066.
   Web of Science ®Google Scholar