Quality and Reliability Engineering International最新文献_第5页

Distribution‐free multivariate process monitoring: A rank‐energy statistic‐based approach 无分布多变量过程监控：基于秩能统计的方法

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-07-08 DOI: 10.1002/qre.3619

Niladri Chakraborty, Maxim Finkelstein

{"title":"Distribution‐free multivariate process monitoring: A rank‐energy statistic‐based approach","authors":"Niladri Chakraborty, Maxim Finkelstein","doi":"10.1002/qre.3619","DOIUrl":"https://doi.org/10.1002/qre.3619","url":null,"abstract":"In this paper, a multivariate process monitoring scheme based on the rank‐energy statistics is proposed which is suitable for high‐dimensional applications such as sensorless drive diagnosis. The rank‐energy statistic is based on multivariate ranks that is grounded on the measure transportation theory. Univariate ranks could be interpreted as a solution to an optimisation problem involving a given set of observations of size and the set {}. Recently, attaining greater robustness than spatial sign or depth‐based ranks, multivariate ranks are proposed as solutions to such optimisation problem in multivariate settings (measure transportation problem). The proposed multivariate process monitoring scheme based on the rank‐energy statistic, subsequently, attains greater robustness than existing nonparametric multivariate process monitoring methods based on spatial sign or depth‐based ranks. The proposed method is also applicable to high‐dimensional data unlike some of the existing nonparametric multivariate process monitoring methods. A rigorous simulation study demonstrates its effective shift detection ability and other important features. A practical application of the proposed method is demonstrated with the sensorless drive diagnosis case study.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566706","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

Unbiased process capability estimation for autocorrelated data using exhaustive systematic sampling 利用详尽系统抽样对自相关数据进行无偏过程能力估计

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-07-07 DOI: 10.1002/qre.3617

Scott D. Grimshaw, Zhupeng Guo, Tyler Duke

{"title":"Unbiased process capability estimation for autocorrelated data using exhaustive systematic sampling","authors":"Scott D. Grimshaw, Zhupeng Guo, Tyler Duke","doi":"10.1002/qre.3617","DOIUrl":"https://doi.org/10.1002/qre.3617","url":null,"abstract":"It is well known that process control index estimators are inflated when naively applied to positively autocorrelated data. The autocorrelation is a nuisance and not a feature that is captured in the process capability indices. This paper proposes exhaustive systematic sampling to create a pooled variance estimator that replaces the biased estimator of the process data standard deviation when data are autocorrelated. The proposed method is effective because the observations within a systematic sample are spread out in time and should be less correlated with each other as a result. It is similar to Bayesian thinning as a strategy for reducing the impact of autocorrelation except no observations are dropped. Properties of estimated process control indices are derived using quadratic forms and large sample theory that is nonparametric in the sense no distribution or time series model is assumed. Approximately unbiased estimates can be achieved for sufficiently large systematic sampling interval. The proposed method is compared to the time series method in a simulation study that demonstrates similar performance. The proposed method is applied to two examples that use because the target is not the midpoint of the specification limits and the mean differs from the target.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566708","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

Degradation index‐based prediction for remaining useful life using multivariate sensor data 利用多变量传感器数据，基于退化指数预测剩余使用寿命

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-07-06 DOI: 10.1002/qre.3615

Wenda Kang, Geurt Jongbloed, Yubin Tian, Piao Chen

引用次数: 0

A modular model for reliability analysis model of PMS with multiple K/N subsystems and mixed shocks 具有多个 K/N 子系统和混合冲击的 PMS 可靠性分析模型的模块化模型

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-07-06 DOI: 10.1002/qre.3614

Weijie Wang, Xiangyu Li, Xiaoyan Xiong

引用次数: 0

Condition‐based maintenance management for two‐stage continuous deterioration with two‐dimensional inspection errors 针对具有二维检测误差的两阶段连续劣化的基于状态的维护管理

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-07-05 DOI: 10.1002/qre.3613

Jiantai Wang, Xiaobing Ma, Kaiye Gao, Yu Zhao, Li Yang

{"title":"Condition‐based maintenance management for two‐stage continuous deterioration with two‐dimensional inspection errors","authors":"Jiantai Wang, Xiaobing Ma, Kaiye Gao, Yu Zhao, Li Yang","doi":"10.1002/qre.3613","DOIUrl":"https://doi.org/10.1002/qre.3613","url":null,"abstract":"Inspections often perform imperfect outcomes during maintenance processes owing to human errors, management issues and other limitations. In particular, such imperfection affects the maintenance management of multistage deterioration significantly due to both false state identification and measurement errors, whose quantitative analysis, however, is seldom reported in the literature. To fill these gaps, this paper devises a condition‐based maintenance management strategy oriented to two‐stage continuous degradation under two‐dimensional inspection imperfection. Specifically, a threshold‐based replacement is executed under the normal‐working state if the detected degradation value exceeds the preset limit; additionally, preventive replacement is immediately performed once the defective state is identified. Notably, the detection outcome rather than the actual working condition decides how preventive maintenance operates. The long‐run cost rate is minimized via the optimization of the inspection cycle and replacement limit. Besides, numerical experiments conducted on train bogie bearing are provided, showing substantial superiorities over cost‐effectiveness promotion and performance improvement.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546361","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

Statistical inference of a series reliability system using shock models with Weibull distribution 利用威布尔分布冲击模型对串联可靠性系统进行统计推断

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-07-05 DOI: 10.1002/qre.3604

Ammar M. Sarhan, Ehab M. Almetwally, Abdelfattah Mustafa, Ahlam H. Tolba

{"title":"Statistical inference of a series reliability system using shock models with Weibull distribution","authors":"Ammar M. Sarhan, Ehab M. Almetwally, Abdelfattah Mustafa, Ahlam H. Tolba","doi":"10.1002/qre.3604","DOIUrl":"https://doi.org/10.1002/qre.3604","url":null,"abstract":"In this study, we define a series system with non‐independent and non‐identical components using a shock model with sources of fatal shocks. Here, it is assumed that the shocks happen randomly and independently, following a Weibull distribution with various scale and shape parameters. A dependability model with unknown parameters is produced by this process. Making statistical conclusions about the model parameters is the main objective of this research. We apply the maximum likelihood and Bayes approaches to determine the model parameters' point and interval estimates. We shall demonstrate that no analytical solutions to the likelihood equations must be solved to obtain the parameters' maximum likelihood estimates. As a result, we will use the R program to approximate the parameter point and interval estimates. Additionally, we will use the bootstrap‐t and bootstrap‐p methods to approximate the confidence intervals. About the Bayesian approach, we presume that each model parameter is independent and follows a gamma prior distribution with a range of attached hyperparameter values. The model parameters' posterior distribution does not take a practical form. We are unable to derive the Bayes estimates in closed forms as a result. To solve this issue, we use the Gibbs sampler from the Metropolis‐Hasting algorithm based on the Markov chain Monte Carlo method to condense the posterior distribution. To demonstrate the relevance of this research, a real data set application is detailed.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546363","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 analysis and preventive maintenance policy for consecutive k$k$‐out‐of‐n:F$n: F$ balanced system under failure criterion operating in shock environment 连续 k$k$-out-of-n:F$n：在冲击环境中运行的失效标准下的 F$ 平衡系统的可靠性分析

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-07-05 DOI: 10.1002/qre.3612

Qinglai Dong, Mengmeng Bai

引用次数: 0

Optimal resource allocation in common bus performance sharing systems with transmission loss 有传输损耗的公共总线性能共享系统中的最优资源分配

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-06-30 DOI: 10.1002/qre.3610

Liudong Gu, Guanjun Wang, Yifan Zhou

{"title":"Optimal resource allocation in common bus performance sharing systems with transmission loss","authors":"Liudong Gu, Guanjun Wang, Yifan Zhou","doi":"10.1002/qre.3610","DOIUrl":"https://doi.org/10.1002/qre.3610","url":null,"abstract":"The reliability modeling and optimization of performance sharing systems (PSSs) are of vital importance due to their wide applications. Existing research mainly focuses on evaluating and maximizing the reliability of PSSs. However, in many practical systems, decision‐makers tend to prioritize the average cost of the system over its reliability. This paper studies the resource allocation optimization in common bus PSSs. In such systems, each unit has binary‐state random performance to satisfy the multi‐state random demand. The surplus performance can be shared via a common bus with transmission loss between the common bus and the unit. The performance allocation, performance transmission, and unsupplied demand incur costs. Resource allocation strategies are determined by optimization models considering different objective functions and constraints. Additionally, transmission loss between the common bus and the unit is considered. A genetic algorithm is employed to efficiently find the optimal allocation strategies. Numerical examples prove the effectiveness of the proposed models in improving system reliability and reducing system costs.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503570","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 analysis of multiple repairable systems under imperfect repair and unobserved heterogeneity 不完全修复和无观测异质性条件下多重可修复系统的可靠性分析

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-06-29 DOI: 10.1002/qre.3607

Éder S. Brito, Vera L. D. Tomazella, Paulo H. Ferreira, Francisco Louzada Neto, Oilson A. Gonzatto Junior

{"title":"Reliability analysis of multiple repairable systems under imperfect repair and unobserved heterogeneity","authors":"Éder S. Brito, Vera L. D. Tomazella, Paulo H. Ferreira, Francisco Louzada Neto, Oilson A. Gonzatto Junior","doi":"10.1002/qre.3607","DOIUrl":"https://doi.org/10.1002/qre.3607","url":null,"abstract":"Imperfect repairs (IRs) are widely applicable in reliability engineering since most equipment is not completely replaced after failure. In this sense, it is necessary to develop methodologies that can describe failure processes and predict the reliability of systems under this type of repair. One of the challenges in this context is to establish reliability models for multiple repairable systems considering unobserved heterogeneity associated with systems failure times and their failure intensity after performing IRs. Thus, in this work, frailty models are proposed to identify unobserved heterogeneity in these failure processes. In this context, we consider the arithmetic reduction of age (ARA) and arithmetic reduction of intensity (ARI) classes of IR models, with constant repair efficiency and a power‐law process distribution to model failure times and a univariate Gamma distributed frailty by all systems failure times. Classical inferential methods are used to estimate the parameters and reliability predictors of systems under IRs. An extensive simulation study is carried out under different scenarios to investigate the suitability of the models and the asymptotic consistency and efficiency properties of the maximum likelihood estimators. Finally, we illustrate the practical relevance of the proposed models on two real data sets.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141528368","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

Advanced reliability and safety methodologies and novel applications (Selected papers of the international conference of QR2MSE2023) 先进的可靠性和安全性方法及新型应用（QR2MSE2023 国际会议论文选）

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-06-29 DOI: 10.1002/qre.3611

Hong‐Zhong Huang, He Li, Yanfeng Li

引用次数: 0