Quality and Reliability Engineering International最新文献

A probabilistic uncertain linguistic approach for FMEA‐based risk assessment 基于 FMEA 风险评估的概率不确定语言方法

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-11 DOI: 10.1002/qre.3657

Yingwei Tang, Dequn Zhou, Shichao Zhu, Linhan Ouyang

{"title":"A probabilistic uncertain linguistic approach for FMEA‐based risk assessment","authors":"Yingwei Tang, Dequn Zhou, Shichao Zhu, Linhan Ouyang","doi":"10.1002/qre.3657","DOIUrl":"https://doi.org/10.1002/qre.3657","url":null,"abstract":"Failure Mode and Effect Analysis (FMEA) is acknowledged as a beneficial instrument for identifying and mitigating system failures. However, the traditional FMEA method has its limitations. For instance, crisp numbers fail to adequately represent the intricate information and cognitive nuances of experts. Additionally, the conventional approach overlooks the significance of weights assigned to FMEA experts and risk factors (RFs). Furthermore, the simplistic ranking of failure modes in traditional FMEA does not accurately reflect priorities. In light of these drawbacks, this paper introduces an innovative, fully data‐driven FMEA method, leveraging a probabilistic uncertain linguistic term sets (PULTSs) environment and the Weighted Aggregates Sum Product Assessment (WASPAS) method. In the assessment process, PULTSs serve as linguistic tools that express probability distribution, allowing for a more reasonable and precise description of information. To address the issue of weights for RFs, the regret theory and Modified CRITIC method are employed. Subsequently, the WASPAS method is applied to determine the risk rankings of failure modes. To illustrate the feasibility and rationality of this novel FMEA model, the paper includes an example involving the production of Lithium‐ion batteries. To emphasize the excellence of the proposed FMEA model, sensitivity and comparative analyses are carried out.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A resilient S2 monitoring chart with novel outlier detectors 带有新型离群点检测器的弹性 S2 监测图

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-09 DOI: 10.1002/qre.3658

Ayesha Awais, Nadia Saeed

引用次数: 0

Dynamic predictive maintenance strategy for multi‐component system based on LSTM and hierarchical clustering 基于 LSTM 和分层聚类的多组件系统动态预测维护策略

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-09 DOI: 10.1002/qre.3656

Lv Yaqiong, Zheng Pan, Li Yifan, Wang Xian

{"title":"Dynamic predictive maintenance strategy for multi‐component system based on LSTM and hierarchical clustering","authors":"Lv Yaqiong, Zheng Pan, Li Yifan, Wang Xian","doi":"10.1002/qre.3656","DOIUrl":"https://doi.org/10.1002/qre.3656","url":null,"abstract":"In recent years, there has been growing interest in employing predictive methods to forecast the remaining useful life of industrial equipment. However, the challenge lies in how to take advantage of the dynamic predictive information to facilitate the maintenance of decision‐making. This problem becomes particularly challenging for complex industrial systems consisting of multiple components with economic dependencies. This paper aims at providing an effective maintenance strategy for multi‐component systems based on predictive information, while considering economic dependencies among different system components. To this end, a dynamic predictive maintenance (PdM) strategy that minimizes the mean maintenance cost over a decision period is proposed, where both long‐term and short‐term policies are integrated into the decision‐making framework. Specifically, the long‐term policy is formulated using predictions derived from historical degradation data through a Long Short‐Term Memory (LSTM) model. Concurrently, real‐time monitoring data is employed to forecast imminent degradation in components, serving as a basis for determining the necessity of short‐term adjustments. This paper embeds the consideration of economic dependencies among components within the maintenance strategy design and employs hierarchical clustering to establish an effective and efficient maintenance grouping policy. The experimental results demonstrate that our proposed strategy significantly outperforms conventional approaches, including block‐based and age‐based maintenance, resulting in substantial cost savings. The proposed strategy is also compared with a similar version without grouping, and the results verify the added value of the optimal maintenance grouping policy in cost reduction. Moreover, a comprehensive analysis of the proposed method is provided, including the impact of different inspection costs and inspection intervals on maintenance decision‐making, which can provide insightful guidance to various PdM scenarios in practice.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monitoring defects on products' surface by incorporating scan statistics into process monitoring procedures 将扫描统计数据纳入流程监控程序，监测产品表面缺陷

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-06 DOI: 10.1002/qre.3652

Sotirios Bersimis, Athanasios Sachlas, Polychronis Economou

{"title":"Monitoring defects on products' surface by incorporating scan statistics into process monitoring procedures","authors":"Sotirios Bersimis, Athanasios Sachlas, Polychronis Economou","doi":"10.1002/qre.3652","DOIUrl":"https://doi.org/10.1002/qre.3652","url":null,"abstract":"Monitoring the number of defects in constant‐size units is a well‐defined problem in the industrial domain and usually, the control chart is used for monitoring the total number of defects in a product or a sample of products. The c‐chart tracks the total number of defects in each case by assuming that the underlying number of defects (single or several different types of defects) follows approximately the Poisson distribution. An interesting class of problems where the ‐chart is used is when the number of defects in a surface is of interest. Although the number of defects on the surface of products characterizes the quality of the products, it is especially important how concentrated the defects are in specific parts of the product. In this paper, we introduce a scan‐based monitoring procedure, which simultaneously combines control charts for monitoring the evolvement of the number of defects (in general, events) through time and scan statistics for exploring the spatial distribution of defects. The numerical illustration showed that the new procedure has excellent performance under different scenarios.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced health states recognition for electric rudder system using optimized twin support vector machine 利用优化的双支持向量机提高电动舵系统的健康状态识别能力

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-04 DOI: 10.1002/qre.3643

Chenxia Guo, Hao Qin, Ruifeng Yang

{"title":"Enhanced health states recognition for electric rudder system using optimized twin support vector machine","authors":"Chenxia Guo, Hao Qin, Ruifeng Yang","doi":"10.1002/qre.3643","DOIUrl":"https://doi.org/10.1002/qre.3643","url":null,"abstract":"Safety and reliability represent indispensable prerequisites for electric rudder systems (ERS), while health states recognition serves as a potent technology that fortifies and optimizes these essential aspects. To address this problem, we present a health‐state recognition muti‐class model BAFAO‐IPBT‐TWSVM for ERS considering several typical operating parameters obtained from intelligent electric rudder system test platform. The twin support vector machine (TWSVM) not only possesses the ability of traditional fault diagnosis methods based on SVM to handle unbalanced data, but also introduces two non‐parallel hyperplanes to replace single hyperplane of traditional SVM. Traditional TWSVM simplifies and streamlines the problem‐solving, but it is limited to binary classification problem. Therefore, the improved separability principle weighting intra‐class distance and inter‐class distance generates the best decision tree structure named improved partial binary tree (IPBT) is to effectively decompose multi‐classification problem into multiple binary classification problems. A novel intelligent algorithms called bat algorithm‐based fruit fly optimization algorithm (BAFOA) is utilized to self‐adaptively optimize the parameters of each sub‐classifier TWSVMi. This strategic integration makes the model more flexible in adapting to the characteristics of electric rudder system and enhances the accuracy and robustness of the model. The performance of the proposed model is validated under real‐world datasets by the results of health states recognition experiments. The Accuracy, Precision, TPR, TNR, F1‐score, G‐mean, and Kappa of the BAFOA‐IPBT‐TWSVM are 0.972, 0.987, 0.982, 0.959, 0.985, 0.970, and 0.954 respectively. The reserved BAFOA‐IPBT‐TWSVM is capable of recognizing the health status with preferable performance compared with other nine models, which could introduce a novel idea for future rudder maintenance approaches.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reliability test for degradation data based on ranked set sampling 基于排序集抽样的退化数据可靠性测试

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-03 DOI: 10.1002/qre.3654

Wenhan Zhang, Xiaojun Zhu, Mu He, Balakrishnan Narayanaswamy

引用次数: 0

Evaluation of orthogonal composite designs for second‐order model in presence of missing observation 在观测数据缺失的情况下评估二阶模型的正交复合设计

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-03 DOI: 10.1002/qre.3653

Chibuzo Solomon Ezievuo, Abimibola Victoria Oladugba, Oluwagbenga Tobi Babatunde

{"title":"Evaluation of orthogonal composite designs for second‐order model in presence of missing observation","authors":"Chibuzo Solomon Ezievuo, Abimibola Victoria Oladugba, Oluwagbenga Tobi Babatunde","doi":"10.1002/qre.3653","DOIUrl":"https://doi.org/10.1002/qre.3653","url":null,"abstract":"Orthogonal‐array composite designs (OACDs) and orthogonal‐uniform composite designs (OUCDs) are orthogonal composite designs that combine two‐level full or fractional factorial and three‐level orthogonal‐array/uniform designs for estimation of the linear, bilinear, and quadratic effects in a second‐order response surface model. In this study, the effects of missing one observation in the various design portions (factorial (f) axial (a) and center (c)), on the precision of parameter estimates, prediction variance and design efficiency of OACDs and OUCDs for 5 ≤ k ≤ 9 factors at different values of α (the distance of a non‐zero co‐ordinate in an additional design point from the center) are evaluated. The results showed that missing a factorial and an axial point have adverse effect on the precision of parameter estimates of OACDs and OUCDs, while missing a center point has little effect. Missing an axial point caused the highest effect on the prediction variance and design efficiencies. The FDS plots showed OACDs to be better designs for k ≤ 7 and OUCDs for k = 8 and 9 factors.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Alias‐informed model selection (AIMS) for 7 and 8 factor no‐confounding 16‐run fractional factorial designs 针对 7 因子和 8 因子无混淆 16 次分数因子设计的别名信息模型选择 (AIMS)

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-03 DOI: 10.1002/qre.3650

Carly E. Metcalfe, Bradley Jones, Douglas C. Montgomery

{"title":"Alias‐informed model selection (AIMS) for 7 and 8 factor no‐confounding 16‐run fractional factorial designs","authors":"Carly E. Metcalfe, Bradley Jones, Douglas C. Montgomery","doi":"10.1002/qre.3650","DOIUrl":"https://doi.org/10.1002/qre.3650","url":null,"abstract":"Nonregular fractional factorial designs are a preferable alternative to regular resolution IV designs because they avoid confounding 2‐factor interactions. As a result, nonregular designs can estimate and identify a few active 2‐factor interactions. However, due to the sometimes complex alias structure of nonregular designs, standard factor screening strategies can fail to identify all active effects. We report on a screening technique that takes advantage of the alias structure of these nonregular designs. This alias‐informed‐model‐selection (AIMS) technique has been used previously for a specific 6‐factor nonregular design. We show how the AIMS technique can be applied to 7‐ and 8‐factor nonregular designs, completing the exposition of this method for all 16‐run 2‐level designs that are viable alternatives to standard Resolution IV fractional factorial designs. We compare AIMS to three other standard analysis methods for nonregular designs, stepwise regression, the lasso, and the Dantzig selector. AIMS consistently outperforms these methods in identifying the set of active factors.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of reliability and availability of a system by using a bivariate stochastic model 利用双变量随机模型评估系统的可靠性和可用性

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-09-03 DOI: 10.1002/qre.3655

Muhammad Mohsin, Aisha Bilal, Zulfiqar Ali

{"title":"Assessment of reliability and availability of a system by using a bivariate stochastic model","authors":"Muhammad Mohsin, Aisha Bilal, Zulfiqar Ali","doi":"10.1002/qre.3655","DOIUrl":"https://doi.org/10.1002/qre.3655","url":null,"abstract":"In the present age of industrial revolution where the smart manufacturing and smart production are being used in the developed countries, the production systems are still vulnerable to disruptions and outages that affect the reliability and availability of the systems. Certain scientific and probabilistic approaches are required to study the inter‐failure times and repair times and find the possible solutions for maximum production and minimum losses. In this article, we propose a bivariate Power Pareto distribution to model the inter‐failure times and repair times of a system along with some of its characteristics. The model parameters are estimated by employing the maximum likelihood estimation, Bayesian estimation and ant colony optimization algorithm. A simulation study is conducted for different sample sizes to assess the stability of the model parameters. Moreover, we derive the distribution of convolution from our proposed bivariate stochastic distribution and compute its quantiles that help to determine the total time of availability and recovery of a certain system. To demonstrate the efficacy of our model, we use real data set of inter‐failure times and repair times of a certain system.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A condition‐based maintenance optimization method with oscillating uncertain degradation process 基于状态的维护优化方法与振荡不确定退化过程

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-08-31 DOI: 10.1002/qre.3648

Shuyu Li, Meilin Wen, Tianpei Zu, Rui Kang

引用次数: 0