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markov chain modelling of reliability Analysis and Prediction under mixed mode Loading

Chinese Journal of Mechanical Engineering 2015年第2期28卷 307-314页

作者： SINGH Salvinder ABDULLAH Shahrum NIK MOHAMED Nik Abdullah MOHD NOORANI Mohd Salmi Department of Mechanical and Materials Engineering Faculty of Engineering & Built EnvironmentUniversiti Kebangsaan Malaysia Department of Mechanical Engineering Universiti Malaysia Pahang School of Mathematical Sciences Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia

The reliability assessment for an automobile crankshaft provides an important understanding in dealing with the design life of the component in order to eliminate or reduce the likelihood of failure and safety *** failures of the crankshafts are considered as a catastrophic failure that leads towards a severe failure of the engine block and its other connecting *** reliability of an automotive crankshaft under mixed mode loading using the markov chain model is *** markov chain is modelled by using a two-state condition to represent the bending and torsion loads that would occur on the *** automotive crankshaft represents a good case study of a component under mixed mode loading due to the rotating bending and torsion *** estimation of the weibull shape parameter is used to obtain the probability density function,cumulative distribution function,hazard and reliability rate functions,the bathtub curve and the mean time to *** various properties of the shape parameter is used to model the failure characteristic through the bathtub curve is ***,an understanding of the patterns posed by the hazard rate onto the component can be used to improve the design and increase the life cycle based on the reliability and dependability of the *** proposed reliability assessment provides an accurate,efficient,fast and cost effective reliability analysis in contrast to costly and lengthy experimental techniques.

关键词： reliability weibull markov chain mixed mode failure

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