Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft

This paper emphasizes on analysing and predicting the reliability of an automobile crankshaft by analysing the time to failure (TTF) through the parametric distribution function. In this paper, the TTF was modelled to predict the likelihood of failure for crankshaft during its operational condition...

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Main Authors:	Salvinder Singh, Karam Singh, Shahrum, Abdullah, Nik Abdullah, Nik Mohamed
Format:	Article
Language:	English English
Published:	BazTech 2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/12928/ http://umpir.ump.edu.my/id/eprint/12928/ http://umpir.ump.edu.my/id/eprint/12928/ http://umpir.ump.edu.my/id/eprint/12928/1/Eksploatacja%20i%20Niezawodnosc%20%E2%80%93%20Maintenance%20and%20Reliability-2.pdf http://umpir.ump.edu.my/id/eprint/12928/7/fkm-2015-nikabdullah-reliability%20analysis%20and%20prediction%20of%20time%20to%20failure%20distribution.pdf

id	oai:umpir.ump.edu.my:12928
recordtype	eprints
spelling	oai:umpir.ump.edu.my:129282016-04-19T00:40:29Z http://umpir.ump.edu.my/id/eprint/12928/ Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft Salvinder Singh, Karam Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed TJ Mechanical engineering and machinery This paper emphasizes on analysing and predicting the reliability of an automobile crankshaft by analysing the time to failure (TTF) through the parametric distribution function. In this paper, the TTF was modelled to predict the likelihood of failure for crankshaft during its operational condition over a given time interval through the development of the stochastic algorithm. The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. T, the algorithm has the capability to statistically validate the algorithm to obtain the optimal parametric model to represent the failure of the component against the actual time to failure data from the local automobile industry. Hence, the validated results showed that the three parameter Weibull distribution provided an accurate and efficient foundation in modelling the reliability rate when compared with the actual sampling data. The suggested parametric distribution function can be used to improve the design and the life cycle due to its capability in accelerating and decelerating the mechanism of failure based on time without adjusting the level of stress. Therefore, an understanding of the parametric distribution posed by the reliability and hazard rate onto the component can be used to improve the design and increase the life cycle based on the dependability of the component over a given period of time. The proposed reliability assessment through the developed stochastic algorithm provides an accurate, efficient, fast and cost effective reliability analysis in contrast to costly and lengthy experimental techniques. BazTech 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12928/1/Eksploatacja%20i%20Niezawodnosc%20%E2%80%93%20Maintenance%20and%20Reliability-2.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/12928/7/fkm-2015-nikabdullah-reliability%20analysis%20and%20prediction%20of%20time%20to%20failure%20distribution.pdf Salvinder Singh, Karam Singh and Shahrum, Abdullah and Nik Abdullah, Nik Mohamed (2015) Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft. Maintenance and Reliability, 17 (3). pp. 408-415. ISSN 1507-2711 http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-654b3ee3-f50f-4477-9d5d-5fa1249110a2 DOI: bwmeta1.element.baztech-654b3ee3-f50f-4477-9d5d-5fa1249110a2
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, Karam Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
description	This paper emphasizes on analysing and predicting the reliability of an automobile crankshaft by analysing the time to failure (TTF) through the parametric distribution function. In this paper, the TTF was modelled to predict the likelihood of failure for crankshaft during its operational condition over a given time interval through the development of the stochastic algorithm. The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. T, the algorithm has the capability to statistically validate the algorithm to obtain the optimal parametric model to represent the failure of the component against the actual time to failure data from the local automobile industry. Hence, the validated results showed that the three parameter Weibull distribution provided an accurate and efficient foundation in modelling the reliability rate when compared with the actual sampling data. The suggested parametric distribution function can be used to improve the design and the life cycle due to its capability in accelerating and decelerating the mechanism of failure based on time without adjusting the level of stress. Therefore, an understanding of the parametric distribution posed by the reliability and hazard rate onto the component can be used to improve the design and increase the life cycle based on the dependability of the component over a given period of time. The proposed reliability assessment through the developed stochastic algorithm provides an accurate, efficient, fast and cost effective reliability analysis in contrast to costly and lengthy experimental techniques.
format	Article
author	Salvinder Singh, Karam Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed
author_facet	Salvinder Singh, Karam Singh Shahrum, Abdullah Nik Abdullah, Nik Mohamed
author_sort	Salvinder Singh, Karam Singh
title	Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
title_short	Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
title_full	Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
title_fullStr	Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
title_full_unstemmed	Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
title_sort	reliability analysis and prediction of time to failure distribution of an automobile crankshaft
publisher	BazTech
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/12928/ http://umpir.ump.edu.my/id/eprint/12928/ http://umpir.ump.edu.my/id/eprint/12928/ http://umpir.ump.edu.my/id/eprint/12928/1/Eksploatacja%20i%20Niezawodnosc%20%E2%80%93%20Maintenance%20and%20Reliability-2.pdf http://umpir.ump.edu.my/id/eprint/12928/7/fkm-2015-nikabdullah-reliability%20analysis%20and%20prediction%20of%20time%20to%20failure%20distribution.pdf
first_indexed	2018-09-07T01:42:16Z
last_indexed	2018-09-07T01:42:16Z
_version_	1610911094007660544

Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft

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