Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading

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 risks. The failures of the crankshafts are considered as a catastrophic failure that leads...

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Main Authors:	Salvinder, Singh, Shahrum, Abdullah, Nik Abdullah, Nik Mohamed, Mohd Salmi, Mohd Noorani
Format:	Article
Language:	English English
Published:	Chinese Mechanical Engineering Society 2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/9403/ http://umpir.ump.edu.my/id/eprint/9403/ http://umpir.ump.edu.my/id/eprint/9403/ http://umpir.ump.edu.my/id/eprint/9403/1/fkm-2015-nik%20abdullah-Immobilized%20Cells.pdf http://umpir.ump.edu.my/id/eprint/9403/7/Chinese%20Journal%20of%20Mechanical%20Engineering-2.pdf

id	oai:umpir.ump.edu.my:9403
recordtype	eprints
spelling	oai:umpir.ump.edu.my:94032016-04-19T07:16:03Z http://umpir.ump.edu.my/id/eprint/9403/ Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading Salvinder, Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed Mohd Salmi, Mohd Noorani TJ Mechanical engineering and machinery 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 risks. The failures of the crankshafts are considered as a catastrophic failure that leads towards a severe failure of the engine block and its other connecting subcomponents. The reliability of an automotive crankshaft under mixed mode loading using the Markov Chain Model is studied. The Markov Chain is modelled by using a two-state condition to represent the bending and torsion loads that would occur on the crankshaft. The automotive crankshaft represents a good case study of a component under mixed mode loading due to the rotating bending and torsion stresses. An 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 failure. The various properties of the shape parameter is used to model the failure characteristic through the bathtub curve is shown. Likewise, 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 component. The proposed reliability assessment provides an accurate, efficient, fast and cost effective reliability analysis in contrast to costly and lengthy experimental techniques. Chinese Mechanical Engineering Society 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9403/1/fkm-2015-nik%20abdullah-Immobilized%20Cells.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/9403/7/Chinese%20Journal%20of%20Mechanical%20Engineering-2.pdf Salvinder, Singh and Shahrum, Abdullah and Nik Abdullah, Nik Mohamed and Mohd Salmi, Mohd Noorani (2015) Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading. Chinese Journal of Mechanical Engineering, 28 (2). pp. 307-314. ISSN 1000-9345 http://dx.doi.org/10.3901/CJME.2015.0112.012 doi: 10.3901/CJME.2015.0112.012
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Salvinder, Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed Mohd Salmi, Mohd Noorani Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading
description	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 risks. The failures of the crankshafts are considered as a catastrophic failure that leads towards a severe failure of the engine block and its other connecting subcomponents. The reliability of an automotive crankshaft under mixed mode loading using the Markov Chain Model is studied. The Markov Chain is modelled by using a two-state condition to represent the bending and torsion loads that would occur on the crankshaft. The automotive crankshaft represents a good case study of a component under mixed mode loading due to the rotating bending and torsion stresses. An 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 failure. The various properties of the shape parameter is used to model the failure characteristic through the bathtub curve is shown. Likewise, 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 component. The proposed reliability assessment provides an accurate, efficient, fast and cost effective reliability analysis in contrast to costly and lengthy experimental techniques.
format	Article
author	Salvinder, Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed Mohd Salmi, Mohd Noorani
author_facet	Salvinder, Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed Mohd Salmi, Mohd Noorani
author_sort	Salvinder, Singh
title	Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading
title_short	Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading
title_full	Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading
title_fullStr	Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading
title_full_unstemmed	Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading
title_sort	markov chain modelling of reliability analysis and prediction under mixed mode loading
publisher	Chinese Mechanical Engineering Society
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/9403/ http://umpir.ump.edu.my/id/eprint/9403/ http://umpir.ump.edu.my/id/eprint/9403/ http://umpir.ump.edu.my/id/eprint/9403/1/fkm-2015-nik%20abdullah-Immobilized%20Cells.pdf http://umpir.ump.edu.my/id/eprint/9403/7/Chinese%20Journal%20of%20Mechanical%20Engineering-2.pdf
first_indexed	2018-09-07T01:15:01Z
last_indexed	2018-09-07T01:15:01Z
_version_	1610909379814490112

Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading

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