International Journal of Reliability, Risk and Safety: Theory and Application最新文献_第7页

Improving Reliability and Reducing Power Loss in Power Distribution Network by Determining Optimal Location and Size of Capacitor Banks 通过确定电容器组的最佳位置和尺寸来提高配电网的可靠性和降低功率损耗

International Journal of Reliability, Risk and Safety: Theory and Application Pub Date : 2018-09-01 DOI: 10.30699/IJRRS.1.25

M. Nadjafi, M. Hajivand

{"title":"Improving Reliability and Reducing Power Loss in Power Distribution Network by Determining Optimal Location and Size of Capacitor Banks","authors":"M. Nadjafi, M. Hajivand","doi":"10.30699/IJRRS.1.25","DOIUrl":"https://doi.org/10.30699/IJRRS.1.25","url":null,"abstract":"The use of capacitor banks in distribution system has many outstanding usages include improving the power factor of a system, voltage profile, and reliability besides the reducing of the power flow losses of the component’s reactive due to the compensation. These benefits depend greatly on how capacitors are placed in the distribution system. Hence, in order to achieve the high reliable construction, switching capacitor has been placed to improve the main challenges of the network designing (reliability and reduce power loss) in the radial distribution system. As regards, the importance of the reliability and power losses are ignored in the distribution networks; the aim of this paper is primarily to establish an objective function for the parallel optimization of these aforementioned parameters. In the simulation process, ten parameters have been compared, which are: System Average Interruption Frequent Index (SAIFI) and its cost, System Average Interruption Duration Index (SAIDI) and its cost, power loss and its cost, the installed capacity and it's cost and values of two objective functions. Honey-bee mating optimization (HBMO) algorithm has been used to solve this problem. Then, the developed technique has been used on the IEEE standard distribution network as a problem-solving system.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926843","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}

引用次数: 3

A Study on the Multi-state (r, s)-out-of- n Systems with Dependent Components 具有相关分量的多状态(r, s) of- n系统的研究

International Journal of Reliability, Risk and Safety: Theory and Application Pub Date : 2018-09-01 DOI: 10.30699/IJRRS.1.11

Atefe Gheisary, S. Goli

引用次数: 4

Probabilistic Physics of Failure (PPOF) Reliability Analysis of RF-MEMS Switches under Uncertainty 不确定条件下RF-MEMS开关的概率失效物理可靠性分析

International Journal of Reliability, Risk and Safety: Theory and Application Pub Date : 2018-09-01 DOI: 10.30699/IJRRS.1.1

Mohammad Pourgolmohamad, Minoo Mobasher Moghaddam, Morteza Soleimani, Robab Aaghazadeh-chakherlou

{"title":"Probabilistic Physics of Failure (PPOF) Reliability Analysis of RF-MEMS Switches under Uncertainty","authors":"Mohammad Pourgolmohamad, Minoo Mobasher Moghaddam, Morteza Soleimani, Robab Aaghazadeh-chakherlou","doi":"10.30699/IJRRS.1.1","DOIUrl":"https://doi.org/10.30699/IJRRS.1.1","url":null,"abstract":"MEMS reliability analysis is a challenging area of research which comprises various physics of failure and diverse failure mechanisms. Reliability issues are critical in both design and fabrication phases of MEMS devices as their commercialization is still delayed by these problems. In this research, a hybrid methodology is developed for the reliability evaluation of MEMS devices. Its first step is the identification of dominant failure modes by FMEA, evaluation of failure mechanisms and an updated lifetime estimation by the Bayesian method. The reliability of MEMS devices is studied using probabilistic physics of failure (PPoF) by determining the dominant failure mechanism. Accordingly, a deterministic model is selected for the analysis of the life and reliability of the dominant failure mechanisms. To convert the deterministic model to a probabilistic model, the uncertainty sources affecting the dielectric lifetime are determined. This model is simulated by the utilization of the Monte Carlo method. In the final stage, the results of life estimation are updated using the Bayesian method. Considering wide application and advantages of RF MEMS capacitive switches, it has been selected as a case study. A framework is developed for reliability evaluation of these switches failures due to stiction mechanism. The results contain FMEA table, lifetime estimation in different voltages, number of duty cycles and at the end, updated results of life estimation using the Bayesian method.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123491929","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}

引用次数: 4

Software Safety Analysis with UML-Based SRBD and Fuzzy VIKOR- Based FMEA 基于uml的SRBD和基于模糊VIKOR的FMEA的软件安全分析

International Journal of Reliability, Risk and Safety: Theory and Application Pub Date : 2018-09-01 DOI: 10.30699/IJRRS.1.35

S. Oveisi, M. Farsi

引用次数: 6

A Risk Assessment Model for Exploitation of New Technologies 新技术开发的风险评估模型

International Journal of Reliability, Risk and Safety: Theory and Application Pub Date : 1900-01-01 DOI: 10.30699/ijrrs.5.2.12

A. Khamseh

{"title":"A Risk Assessment Model for Exploitation of New Technologies","authors":"A. Khamseh","doi":"10.30699/ijrrs.5.2.12","DOIUrl":"https://doi.org/10.30699/ijrrs.5.2.12","url":null,"abstract":"Considering the importance of risk assessment for exploitation projects of new technologies in the manufacturing power plant equipment industry in MAPNA Group, a suitable model for assessing the related risks was extracted, along with identifying and ranking the factors affecting it. This study was carried out using the library-field method, and data collection tools were questionnaires and interviews. It should be noted that with the review of the literature and study of the related research along with the expert viewpoints, a number of 78 measured variables affecting the risk assessment model for the exploitation of technologies in the power generation industry were extracted. Finally, 43 measured variables that affect the mentioned model were determined after screening by expert judgment and university professors in the form of 8 latent variables. Then, a questionnaire was developed and distributed among 89 experts in the field of power plant equipment, and the completed questionnaires were collected. To test the research model's validation and goodness of fit (GOF), the variables and their effects, confirmatory factor analysis using structural equation modeling and Smart PLS software were used, and 24 measured variables were accepted. In addition, paired comparisons with the analysis of the network process and Super Decision software were used to prioritize the variables affecting the risk assessment model for the exploitation of new technologies in power plant equipment industry. The results show that the risk assessment model for exploiting new technologies in the power plant manufacturing industry includes 7 latent variables: 1-Operational and Processes 2-Human 3-Technical and Technological, 4-Environmental and Industrial, 5-Strategic, 6-Financial, and 7-Managerial. Also, ranking showed that variables such as Technical and technological, Operational and Processes, and Human ranked first to third, and financial variables ranked last.","PeriodicalId":395350,"journal":{"name":"International Journal of Reliability, Risk and Safety: Theory and Application","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116583676","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}

引用次数: 0

The Conditional Estimation for related Weibull parameters Under Type-II Censoring 二类滤波下相关威布尔参数的条件估计

International Journal of Reliability, Risk and Safety: Theory and Application Pub Date : 1900-01-01 DOI: 10.30699/ijrrs.3.1.11

A. Habibirad, J. Kazempoor

引用次数: 0

Sensitive Analysis of Tuned Mass on High Cycle Fatigue Safety Factor of Crankshaft 调质对曲轴高周疲劳安全系数的敏感性分析

International Journal of Reliability, Risk and Safety: Theory and Application Pub Date : 1900-01-01 DOI: 10.30699/IJRRS.3.1.7

H. Karimaei

引用次数: 2