{"title":"Life extension for a coherent system through cold standby and minimal repair policies for their independent components","authors":"S. Mirjalili, J. Kazempoor","doi":"10.30699/ijrrs.3.2.6","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.6","url":null,"abstract":"We consider life extension for a class of coherent system consisting of independent components with an increasing failure rate functions. The maintenance action is applied in a fixed component called the target component. To this end, the minimal repair and cold standby actions are provided. We also consider two alternative policies for the target component. A component following a new random variable, and another following the same distributions of the target component. These policies obviously increase the reliability and life of the target component and consequently, the life and reliability of a coherent system are also increased. In this regard, the life of the system is also extended. Some numerical results considering these life extensions are presented. Keyword: Coherent System, ColdS, Minimal Repair, Preventive Maintenance.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123560377","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":"COVID-19 Infection Risk Index Estimation in Flight Destinations (case study: Kish Air destinations)","authors":"I. Shafieenejad, S. Ghasemi, M. Siami","doi":"10.30699/ijrrs.3.2.8","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.8","url":null,"abstract":"This paper proposes a risk assessment method for estimating theCOVID-19 Infection risk index in flight destinations based on the pair wise comparison method to solve the problem of health monitoring devices shortage in airlines. In this research, Kish Airlines flight destinations are considered as a case study. By considering the importance of continuing air travel during COVID-19 pandemic, one of the most effective ways for decreasing the risk of infection to COVID-19 in air travel is establishing health monitoring stations at the airport gates. Because of the enormous number of airports and airline routes, nationwide coverage of them by the establishment of the health monitoring stations is unimaginable. Therefore, in this paper, the pair wise comparison method used for evaluating COVID-19 infection risk index in selected flight destinations and to evaluate the optimal policy for allocation of health monitoring equipment in Kish Airline destinations a geostatistical map is designed based on the calculated infection risk score. Keyword: COVID-19; Infection Risk index; Risk assessment model; Pair wise comparison. Nomenclature and units The Notation to be used in this paper listed as follows: The probability parameter superiority Systems step number The probability of selected member winning in the comparison process The numerical value of the input parameter","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122636106","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":"Determination of Optimum Sample Size for Lot Acceptance Attribute Sampling under Life Tests Based On Rayleigh Distribution Using Graphical Evaluation Review Technique (GERT)","authors":"P. Kumarasamy, S. Nagarathinam, T. Asif","doi":"10.30699/ijrrs.3.2.11","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.11","url":null,"abstract":"This paper presents the graphical evaluation and review technique (GERT) exploration of performance measures for lot acceptance sampling procedures having attribute characteristics following life tests based on percentiles of Rayleigh Distribution and henceforth determining optimum sampling size. The advantageous implications of GERT analysis in this framework is primarily to visualize the dynamics of the sampling inspection system and secondly, critical analysis of sampling procedure characteristics. The formula of operating characteristics (OC) function and average sample number (ASN) function is derived and illustrated numerically. Lastly, tables have been provided to determine the optimum sample size assuring certain mean life or quality of the product.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114318678","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":"Reducing Risk and Increasing Reliability and Safety of Compressed Air Systems by Detecting Patterns in Pressure Signals","authors":"D. Sanders, M. Thabet, V. Becerra","doi":"10.30699/ijrrs.3.2.10","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.10","url":null,"abstract":"This paper investigates the design of a classifier that effectively identifies undesired events by detecting patterns in the pressure signal of a compressed air system using a continuous wavelet transform. The pressure signal of a compressed air system carries useful information about operational events. These events form patterns that can be used as ‘signatures’ for event detection. Such patterns are not always apparent in the time domain and hence the signal was transformed to the time-frequency domain. Data was collected using an industrial compressed air system with load/unload control. Three different operating modes were considered: idle, tool activation , and faulty. The wavelet transforms of the pressure signal revealed unique features to identify events within each mode. A neural network classifier was created to detect faulty compressed air system behaviourbehaviour. Future work will investigate the detection of more faults and using other classification algorithms.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130699335","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":"Application of a Model-Based Fault Detection Approach on a Spacecraft","authors":"Alireza Alikhani, G. Sharifi","doi":"10.30699/ijrrs.3.2.3","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.3","url":null,"abstract":"The model-based fault detection approach is one of the software-based supervision systems monitoring. This method has a marked effect to detect components fault without demanding extra sensors to measure or add redundancy. The extended multiple model’s adaptive estimation method is an online strategy to detect and isolation failure of components. Simple implementation, fast and accurate response, compatibility with nonlinear systems, and the ability to detect different types of faults are the most important features of this method. This method is applied to the faulty spacecraft in terms of actuators and its capability is evaluated. The most probable actuator fault implemented using MATLAB/SIMULINK software. The presented approach successfully detects faulty actuators.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115315714","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 Combined AHP-PROMETHEE Approach for Intelligent Risk Prediction of Leak in a Storage Tank","authors":"D. Sanders, Favour Ikwan, M. Haddad","doi":"10.30699/ijrrs.3.2.7","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.7","url":null,"abstract":"This paper describes the use of the Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method for predicting risk of leakage in a storage tank. This is the first time AHP and PROMETHEE have been used in this way. Important decisions about day to day operations are continually made in a petroleum environment. Storage tanks in refineries contain large volumes of flammable and hazardous liquids. Decision processes need to evaluate and select alternatives with a higher probability of resulting in a hazard, among many different alternatives. The new model described in this paper will aid decision makers to predict which tank is likely to develop a leak and determine what criteria (source of risk) could result in a leak. Although the case study deals with a specific risk prediction problem, the combination of AHP and PROMETHEE methods can be applied to other decision problems.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115434648","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}
S. A. Raza, Q. Mahboob, A. A. Khan, T. Khan, J. Hussain
{"title":"Computation of Importance Measures Using Bayesian Networks for the Reliability and Safety of Complex Systems","authors":"S. A. Raza, Q. Mahboob, A. A. Khan, T. Khan, J. Hussain","doi":"10.30699/ijrrs.3.2.12","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.12","url":null,"abstract":"Modern engineering systems have proven to be quite complex due to the involvement of uncertainties and a number of dependencies among the system components. Shortcoming in the inclusion of such complex features results in the wrong assessment of reliability and safety of the system, ultimately to the incorrect engineering decisions. In this paper, the usefulness of Bayesian Networks (BNs) for achieving improved modeling and reliability and risk analysis is investigated. The calculation of a number of Importance Measures with use of Fault Tree Analysis as well as BNs is provided for a complicated railway operation problem. The BNs based safety risk model is investigated in terms of quantitative reliability and safety analysis as well as for multi dependencies and uncertainty modeling.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202443","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}
Bita soltan Mohammadlou, Mohammad Pourgolmohamad, M. Yazdani
{"title":"Probabilistic Life Assessment of Gas Turbine Blade Alloys under Creep","authors":"Bita soltan Mohammadlou, Mohammad Pourgolmohamad, M. Yazdani","doi":"10.30699/ijrrs.3.2.2","DOIUrl":"https://doi.org/10.30699/ijrrs.3.2.2","url":null,"abstract":"Deformations occur gradually in the gas turbine components since they are working under high temperature and stress. In the turbine blade alloys, creep is the most significant failure mechanism. In this research, creep life has been estimated for the blade alloys by considering humidity. A method is proposed to estimate the creep life by direct consideration of humidity on the creep life of the gas turbine blade. In the proposed model, the humidity factor is added to the classic Larson Miller creep life estimation method. This model is capable of predicting creep life with known dry temperature (Water Air Ratio=0), mechanical stress, and humidity. In this approach, there is no need to measure blade temperature variation during operation. As a case study, the creep life of first-stage turbine blade alloy is predicted using the proposed method and benchmarked with published (Finite element analysis) FEA results. The reliability of the blades was estimated by considering different success criteria using Monte Carlo simulation. The reliability of the creep rupture life of Nimonic-90 steel was carried out using SCRI mode based on the Z-parameter. The scattered data has been considered for creep rupture of materials in this part. The results show that creep life increases with humidity increase. It is also shown that with an increase in mechanical stress and temperature fluctuations, the reliability of the turbine blade creep life decreases sharply. Keyword: Creep life prediction; Failure mechanism; Gas turbine blade; Humidity; Nimonic 90; Reliability; SCRI method","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114967760","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 Inference of Reliability Growth-Oriented Weibull Distribution for Multiple Mechanical Stages Systems","authors":"M. Nadjafi, P. Gholami","doi":"10.30699/IJRSS.2020.216829.1040","DOIUrl":"https://doi.org/10.30699/IJRSS.2020.216829.1040","url":null,"abstract":"The Duane and Crow-AMSAA reliability growth model has been traditionally used to model systems and products undergoing development testing. The Non-Homogeneous Poisson Process (NHPP) with power intensity law has often been used as a model for describing the failure pattern of repairable systems and maximum likelihood (ML) estimates are used to calculate the unknown parameters widely. This study proposes the statistical analysis method of different stages and different level data based on Bayes analysis techniques. To this end, the Bayesian reliability growth model of multiple stages is coupled with the Weibull distribution product. By using the unique properties of the assumed prior distributions, the moments of the posterior distribution of the failure rate at various stages during a development test can be found. In this work, it is assumed that the scale parameter has a Gamma prior density function, and the growth parameter has a Uniform prior distribution. Monte Carlo simulations are used to compute the Bayes estimates. Finally, the results obtained from the proposed method by implementing it on an application example are compared with Crow-AMSAA data and show that the proposed model has higher accuracy than the existing traditional methods.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000190","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":"Triple-Triple Redundant Reliable Onboard Computer Based on Multicore Microcontrollers","authors":"G. Kahe","doi":"10.30699/ijrrs.1.17","DOIUrl":"https://doi.org/10.30699/ijrrs.1.17","url":null,"abstract":"The flight control system must meet extremely high levels of functional integrity and availability. The control algorithm is processed by onboard computer (OBC). To meet the reliability requirements for onboard computers, various type of redundancy must be employed. In this paper, we concerned with the triple modular redundancy (TMR) for an onboard computer with aerospace application. In the proposed architecture, control inputs and system states are measured using designated sensors. According to the acquired data, mission scenario and control algorithm are processed by the processing unit. Thereafter, the results are applied to the system by actuators.TMR technology in component level is used to improve the reliability of OBC according to the system requirements. All of the constituent modules of OBC, comprising processing unit, bus interface, sensor, actuators, and IO devices, benefits from triple redundancy. The case study shows that the similar architecture is used for high reliable flight computer of passenger airplanes except that our architecture is based on the available multicore microcontrollers. The reliability of the designed onboard computer is evaluated analytically, which indicates that the proposed OBC can meet the reliability requirements.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"81 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133685993","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}