Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model

This paper describes the extending model of Multi-mode Failure Models by using the Weibull and Gamma distribution models presented in a conference [1,2]. Different than the models in the previous papers which are for variable test data, in this paper we will describe the use of attribute test data f...

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Main Authors:	Noraini, Mohd Razali, Iskandar, Ismed
Format:	Article
Language:	English
Published:	Trans Tech Publications, Switzerland 2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/5907/ http://umpir.ump.edu.my/id/eprint/5907/ http://umpir.ump.edu.my/id/eprint/5907/ http://umpir.ump.edu.my/id/eprint/5907/1/fkp-2014-noraini-multi-mode_abs_only.pdf

id	ump-5907
recordtype	eprints
spelling	ump-59072018-02-08T03:59:34Z http://umpir.ump.edu.my/id/eprint/5907/ Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model Noraini, Mohd Razali Iskandar, Ismed TJ Mechanical engineering and machinery This paper describes the extending model of Multi-mode Failure Models by using the Weibull and Gamma distribution models presented in a conference [1,2]. Different than the models in the previous papers which are for variable test data, in this paper we will describe the use of attribute test data for our model. In reliability theory, the most important problem is to determine the reliability of a complex system from the reliability of its components. The weakness of most reliability theories is that the systems are described and explained as simply functioning or failed. In many real situations, the failures may be from many causes depending upon the age and the environment of the system and its components. Another problem in reliability theory is one of estimating the parameters of the assumed failure models. The estimation may be based on data collected over censored or uncensored life tests. In many reliability problems, the failure data are simply quantitatively inadequate. The Bayesian analyses are more beneficial than classical analyses in such cases. The Bayesian estimation analyses allow us to combine past knowledge or experience in the form of an apriori distribution with life test data to make inferences of the parameter of interest. In this paper, we have investigated the application of the Bayesian estimation analyses to multi-mode failure systems for attribute test data. The cases are limited to the models with independent causes of failure. We select our investigation by using the Multi-nomial distribution as our model. This distribution is widely used in reliability analysis for attribute test data. This model describes the likelihood function and follows with the description of the posterior function. A Beta prior is used in our analysis for each model and it is followed by the estimation of the point, interval, and reliability estimations. Trans Tech Publications, Switzerland 2014-04 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5907/1/fkp-2014-noraini-multi-mode_abs_only.pdf Noraini, Mohd Razali and Iskandar, Ismed (2014) Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model. Advanced Materials Research, 903. pp. 419-424. ISSN 1022-6680 (print), 1662-8985 (online) http://www.scientific.net/AMR.903.419 DOI: 10.4028/www.scientific.net/AMR.903.419
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Noraini, Mohd Razali Iskandar, Ismed Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model
description	This paper describes the extending model of Multi-mode Failure Models by using the Weibull and Gamma distribution models presented in a conference [1,2]. Different than the models in the previous papers which are for variable test data, in this paper we will describe the use of attribute test data for our model. In reliability theory, the most important problem is to determine the reliability of a complex system from the reliability of its components. The weakness of most reliability theories is that the systems are described and explained as simply functioning or failed. In many real situations, the failures may be from many causes depending upon the age and the environment of the system and its components. Another problem in reliability theory is one of estimating the parameters of the assumed failure models. The estimation may be based on data collected over censored or uncensored life tests. In many reliability problems, the failure data are simply quantitatively inadequate. The Bayesian analyses are more beneficial than classical analyses in such cases. The Bayesian estimation analyses allow us to combine past knowledge or experience in the form of an apriori distribution with life test data to make inferences of the parameter of interest. In this paper, we have investigated the application of the Bayesian estimation analyses to multi-mode failure systems for attribute test data. The cases are limited to the models with independent causes of failure. We select our investigation by using the Multi-nomial distribution as our model. This distribution is widely used in reliability analysis for attribute test data. This model describes the likelihood function and follows with the description of the posterior function. A Beta prior is used in our analysis for each model and it is followed by the estimation of the point, interval, and reliability estimations.
format	Article
author	Noraini, Mohd Razali Iskandar, Ismed
author_facet	Noraini, Mohd Razali Iskandar, Ismed
author_sort	Noraini, Mohd Razali
title	Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model
title_short	Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model
title_full	Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model
title_fullStr	Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model
title_full_unstemmed	Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model
title_sort	multi-mode failure models for attribute test data in reliability systems, a bayesian analysis approach using multi-nomial distribution model
publisher	Trans Tech Publications, Switzerland
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/5907/ http://umpir.ump.edu.my/id/eprint/5907/ http://umpir.ump.edu.my/id/eprint/5907/ http://umpir.ump.edu.my/id/eprint/5907/1/fkp-2014-noraini-multi-mode_abs_only.pdf
first_indexed	2023-09-18T22:01:19Z
last_indexed	2023-09-18T22:01:19Z
_version_	1777414417859739648

Multi-Mode Failure Models for Attribute Test Data in Reliability Systems, a Bayesian Analysis Approach Using Multi-Nomial Distribution Model

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