M. Ahmad, A. Arifin, S. Abdullah, W. Jusoh, S. Singh
{"title":"The probabilistic analysis of fatigue crack effect based on magnetic flux leakage","authors":"M. Ahmad, A. Arifin, S. Abdullah, W. Jusoh, S. Singh","doi":"10.1504/IJRS.2019.097011","DOIUrl":"https://doi.org/10.1504/IJRS.2019.097011","url":null,"abstract":"In this paper, probabilistic analysis on the fatigue crack effect was investigated by applying the Metal Magnetic Memory (MMM) method, based on Self-Magnetic Leakage Field (SMLF) signals on the surface of metal components. The precision of MMM signals is essential in identifying the validity of the proposed method. The tension-tension fatigue test was conducted using the testing frequency of 10 Hz with 4 kN loaded, and the MMM signals were captured using the MMM instrument. As a result, a linear relationship was observed between the magnetic flux leakage and cyclic loading parameter, presenting the R-squared value at 0.72-0.97. The 2P-Weibull distribution function was used as a probabilistic approach to identify the precision of the data analysis from the predicted, and experimental fatigue lives, thereby showing that all points are placed within the range of a factor of 2. Additionally, the characteristics of PDF, CDF, failure rate and failure probability data analysis were plotted and described. Therefore, a 2P-Weibull probability distribution approach is determined to be an appropriate method to determine the accuracy of data analysis for MMM signals in a fatigue test for metal components.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJRS.2019.097011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46920349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model checking software product line based on multi-valued logic","authors":"Shuang Liu, Yufeng Shi, Ming Huang","doi":"10.1504/IJRS.2018.10017232","DOIUrl":"https://doi.org/10.1504/IJRS.2018.10017232","url":null,"abstract":"Software product line (SPL) maximises commonality between software products to reduce cost and improve productivity. SPL has been widely applied in critical systems, and ensuring correctness of the system is thus of great importance. In this paper, we consider the incomplete designs in the early stage of software development. This enables detecting design errors earlier, reducing the cost of later development of final products. We first propose bilattice-based feature transitions systems (BFTSs), which support description of uncertainty. We then express system behavioural properties using ACTL formulas and define its semantics over BFTSs. On the one hand, we provide the procedures that translate BFTSs to multi-valued Kripke structure and develop a software model checker assistant BPMCA. On the other hand, we decompose the multi-valued BFTS to lower the complexity of model checking. Finally, we implement our approach and illustrate its effectiveness on a benchmark from the literature.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"364-393"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43572426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Availability optimisation of pre-heat exchanger system with random repair and failure rates using PSO","authors":"Ajay Kumar","doi":"10.1504/IJRS.2018.10017230","DOIUrl":"https://doi.org/10.1504/IJRS.2018.10017230","url":null,"abstract":"The main objective of this study is to carry out performance analysis and availability maximisation with randomly selected failure and repair rates (FRR) of a Pre-Heat Exchanger (PHE) system of a brewery plant using the particle swarm algorithm. The behavioural analysis of each system is carried out by Markovian method and the schematic diagram of the PHE system represents various components and their connectivity (series/parallel/hybrid) whereas the transition diagram explores various possibilities and combinations of working states of the components i.e. full capacity working (FCW), reduced capacity working (RCW) and failed state (FS). The mathematical equations are formulated using the transition diagrams in order to carry out steady state availability (SSA) and transient state availability (TSA) analysis. The prediction of failure and repair rate to attain maximum availability of a system is done by using Particle Swarm Optimisation (PSO) technique. These results are beneficial for plant personnel by steering of failure and repair rates to achieve maximum availability.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"327-347"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45753237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monika Gahlot, V. V. Singh, Hamisu I. Ayagi, C. K. Goel
{"title":"Performance assessment of repairable system in series configuration under different types of failure and repair policies using copula linguistics","authors":"Monika Gahlot, V. V. Singh, Hamisu I. Ayagi, C. K. Goel","doi":"10.1504/IJRS.2018.10017231","DOIUrl":"https://doi.org/10.1504/IJRS.2018.10017231","url":null,"abstract":"This paper deals with the study of reliability measures of a complex system consisting two subsystems, subsystem-1 and subsystem-2 in a series configuration. The subsystem-1 has three units that are working under the policy 2-out-of-3: F; policy, and the subsystem-2 has two units that are working under 1-out-of-2: G; policy. Failure rates of units of subsystems are constant and assumed to follow an exponential distribution, but their repair supports two types of distribution, general distribution, and Gumbel-Hougaard family copula distribution. Two types of repair (general repair and copula repair) have been employed for partially failed and completely failed states. The system is analysed using the supplementary variable technique. Some important measures of reliability such as availability of system, reliability of the system, MTTF and profit analysis have been discussed. Computations have taken a particular case by evaluating availability, reliability, MTTF and profit of operation of the system.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"348-363"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45635767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bayesian sample size determination for product retesting after design change in Poisson distributed data","authors":"S. Khorate, D. T. Shirke","doi":"10.1504/IJRS.2018.10017233","DOIUrl":"https://doi.org/10.1504/IJRS.2018.10017233","url":null,"abstract":"Many times, a design is changed after product validation testing in the real world. It occurs more frequently in the engineering field, which will create a problem of retesting the product with the original product specification without consideration of the degree and significance of the design change. As far as cost and resources are concerned, we have to find the minimum sample size for retesting the product. In this paper, we present a Bayesian method for determining sample size for retesting the redesigned product in Poisson distributed data via success-based testing prior. Numerical results of sample size for retesting the redesigned product are given. An example of paper pulp is provided.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"394-405"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49598853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"State-control-limit-based rejuvenation modelling and optimisation of the virtualised cloud server","authors":"Weichao Dang, J. Zeng","doi":"10.1504/IJRS.2018.10017234","DOIUrl":"https://doi.org/10.1504/IJRS.2018.10017234","url":null,"abstract":"Software rejuvenation modelling and optimisation of the virtualised cloud server has been studied. A software rejuvenation policy on the virtual machines and the virtual machine monitor has been proposed in order to ensure high availability of the virtualised cloud server. The multi-component system, composed of the virtual machines and the virtual machine monitor, which are structurally dependent, has been reduced to the multiple two-component systems. The state-control-limit-based rejuvenation policy has been proposed and the joint probability density of the degraded state of the two-component VM-VMM has been derived. Furthermore, the solution to the joint probability density has been proposed. Finally, the stationary unavailability of the virtualised cloud server has been modelled. Numerical experiments have verified the correctness of the probability density function and the feasibility of the rejuvenation policy. The state-control-limit-based rejuvenation policy leads to lower unavailability of the virtualised cloud server in comparison with the lifetime-based rejuvenation policy.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"406-428"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46922679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A fuzzy-QFD approach for the enhancement of work equipment safety: a case study in the agriculture sector","authors":"M. Fargnoli, M. Lombardi, Nicolas Haber","doi":"10.1504/IJRS.2018.10016368","DOIUrl":"https://doi.org/10.1504/IJRS.2018.10016368","url":null,"abstract":"The paper proposes a design for safety methodology based on the use of the Quality Function Deployment (QFD) method, focusing on the need to identify and analyse risks related to a working task in an effective manner, i.e. considering the specific work activities related to such a task. To reduce the drawbacks of subjectivity while augmenting the consistency of judgements, the QFD was augmented by both the Delphi method and the fuzzy logic approach. To verify such an approach, it was implemented through a case study in the agricultural sector. While the proposed approach needs to be validated through further studies in different contexts, its positive results in performing hazard analysis and risk assessment in a comprehensive and thorough manner can contribute practically to the scientific knowledge on the application of QFD in design for safety activities.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"306-326"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45415279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Hentati, Mbarka Selmi, Tarek Kormi, N. B. H. Ali
{"title":"Random finite element method for bearing capacity assessment of a shallow foundation under varied uniaxial loadings","authors":"A. Hentati, Mbarka Selmi, Tarek Kormi, N. B. H. Ali","doi":"10.1504/IJRS.2018.10016359","DOIUrl":"https://doi.org/10.1504/IJRS.2018.10016359","url":null,"abstract":"This paper focuses on the application of the random finite element method (RFEM) for the assessment of the uniaxial bearing capacities of a shallow foundation subjected to centred vertical, horizontal and rotational loadings. The analysis combines finite element modelling, spatial variability analysis and Monte Carlo simulation. For this, the soil undrained shear strength is assumed to be variable in both horizontal and vertical directions with spatial dependency expressed via a Markovian autocorrelation function. The application of the proposed methodology to a shallow foundation permitted to highlight the insufficiency of the deterministic approach to predict the uniaxial foundation bearing capacities and led to different failure mechanisms.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"237-260"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44897654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliability analysis of ((e, f), k, l c )/(m, n):F system under multiple failure using universal generating function","authors":"K. Meenakshi, S. B. Singh","doi":"10.1504/IJRS.2018.094942","DOIUrl":"https://doi.org/10.1504/IJRS.2018.094942","url":null,"abstract":"In this paper ((e, f), k, lc)/(m, n):F system is taken for study under multiple failures. The target system has m and n rows and columns respectively. System fails if any (e, f) sub-matrices fail or any k components fail or consecutive l2 components within any m rows or n columns fail out of (m, n) matrix. A Markov stochastic process has been applied to obtain probability of components of the systems. Reliability indices such as reliability, mean time to failure and sensitivity analysis of the considered system have been evaluated with the help of universal generating function. Finally, a numerical example is taken to demonstrate the model.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"292-305"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJRS.2018.094942","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45547576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A prediction interval approach to developing life test acceptance criteria for progressively censored data","authors":"M. Salem, Zeinab H. Amin, M. Ismail","doi":"10.1504/IJRS.2018.094941","DOIUrl":"https://doi.org/10.1504/IJRS.2018.094941","url":null,"abstract":"In this paper we use the prediction-interval approach to construct acceptance criteria to determine whether or not certain batches of products are acceptable. The procedure is intended to protect both producers and consumers against highly defective lots and demonstrate that a required quality level is met with certain probability. The prediction interval approach is particularly useful to employ when the lifetime of the product represents the quality characteristic of interest. On the basis of a progressively censored sample from the Weibull lifetime distribution, the problem of constructing acceptance criteria by predicting a future lifetime based on an independent past sample of lifetimes from the same distribution is addressed in a Bayesian setting with a dependent bivariate prior. The Metropolis-within-Gibbs Sampler algorithm is used to obtain a sequence of draws from the posterior predictive distribution of future observations. This sequence is used to derive the prediction intervals based on which the lot acceptance criteria are determined. An example using real data is illustrated.","PeriodicalId":39031,"journal":{"name":"International Journal of Reliability and Safety","volume":"12 1","pages":"279-291"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46680600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}