Quality and Reliability Engineering International最新文献_第9页

Risk assessment of man‐machine systems under safety‐critical multitasking situations 安全关键型多任务情况下的人机系统风险评估

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-04-03 DOI: 10.1002/qre.3552

Haiyang Che, Kehui Li, Shengkui Zeng, Changbo Yv, Jianbin Guo

{"title":"Risk assessment of man‐machine systems under safety‐critical multitasking situations","authors":"Haiyang Che, Kehui Li, Shengkui Zeng, Changbo Yv, Jianbin Guo","doi":"10.1002/qre.3552","DOIUrl":"https://doi.org/10.1002/qre.3552","url":null,"abstract":"Multitasking is increasingly common in highly complex and safety‐critical systems, especially under abnormal situations. Mental overload (MOL) may occur and result in forgetting/mistaking tasks uncertainly. Such probabilistic errors could have catastrophic consequences and contribute greatly to the multitasking risk of man‐machine systems. In this paper, to better identify the risks of safety‐critical multitasking situations, MOL mechanism is investigated and a risk analysis method considering MOL is proposed. MOL occurs when the demand for resources estimated by Multiple Resources Model exceeds an operator's ability. Then, the operator's performance degrades, and s/he tends to mistake or abandon parts of tasks. Based on the MOL mechanism, a MOL‐performance dependency (MOL‐PDEP) gate is proposed to incorporate MOL into risk analysis. Its inputs are concurrent tasks, and it triggers the related hazardous human behavior events with certain probabilities if MOL occurs. Through this gate, the dependence among these events and their nondeterministic cause relationships to MOL are added to traditional fault tree (FT), which presents a challenge issue to FT analysis. An implicit method is proposed to analyze the FT with MOL‐PDEP gate and calculate the accident probability. A case study on a helicopter crash accident demonstrates the effectiveness of the proposed method.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":"74 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140566036","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

Objective Bayesian estimation for multistate stress‐strength model's reliability with various kernel functions 用各种核函数对多态应力强度模型的可靠性进行客观贝叶斯估计

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-04-01 DOI: 10.1002/qre.3548

Haijing Ma, Junmei Jia, Xiuyun Peng, Zaizai Yan

引用次数: 0

Log‐location‐scale increment degradation model: A Bayesian perspective 对数位置尺度增量退化模型：贝叶斯视角

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-28 DOI: 10.1002/qre.3545

I‐Tang Yu, Kuei‐Mao Wang

{"title":"Log‐location‐scale increment degradation model: A Bayesian perspective","authors":"I‐Tang Yu, Kuei‐Mao Wang","doi":"10.1002/qre.3545","DOIUrl":"https://doi.org/10.1002/qre.3545","url":null,"abstract":"Degradation modeling serves as a valuable tool for assessing the lifetime information of highly reliable products. One frequently employed approach for describing the degradation phenomenon involves the use of a degradation model that relies on stochastic processes. In a stochastic‐process‐based degradation model, it is assumed that the increments follow a distribution with the additivity property. This property makes the further inferences mathematically and statistically tractable. However, it limits the choices of the distributions. This paper aims to use those distributions without the additivity property to model the increments and explores distributions from the log‐location‐scale family. Under the frame of Bayesian analysis, Markov Chain Monte Carlo algorithms are developed for executing the necessary computations. Given that the proposed degradation models do not adhere to the additivity property, this paper tackles the challenges involved in predicting the lifetime of both on‐line and off‐line products. Two illustrative examples are subsequently analyzed to demonstrate the procedural steps outlined. The suitability of the proposed model is finally validated through a simulation study.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":"13 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322695","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

Comparisons of steady‐state optimal EWMA and DEWMA charts 稳态最优 EWMA 和 DEWMA 图表的比较

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-28 DOI: 10.1002/qre.3540

Steven E. Rigdon, Charles W. Champ, Sven Knoth

{"title":"Comparisons of steady‐state optimal EWMA and DEWMA charts","authors":"Steven E. Rigdon, Charles W. Champ, Sven Knoth","doi":"10.1002/qre.3540","DOIUrl":"https://doi.org/10.1002/qre.3540","url":null,"abstract":"The double EWMA (DEWMA) has been proposed as a more efficient control charting procedure for monitoring the mean of a process. Comparisons of the DEWMA and the EWMA charts, which often indicate the superiority of the DEWMA, are often flawed because the same smoothing constant is used in both charts. We take the approach of first selecting a shift that we would like to detect, and then compare the optimal DEWMA chart and the optimal EWMA chart for that particular shift. We consider the DEWMA chart whose smoothing constants are restricted to be the same and the general DEWMA. We find that there are situations where the optimal DEWMA outperforms, in the sense of a shorter out‐of‐control average run length (ARL) for a fixed in‐control ARL, but the improvement is slight. The optimal EWMA chart usually performs much better than the optimal DEWMA chart when the actual shift differs from the shift used to optimize the chart. The poor performance of the DEWMA chart away from the shift for which it was optimized, the nonmonotonicity of the DEWMA weights, and the additional computations required of the DEWMA chart indicate that the EWMA is a better overall choice than the DEWMA chart.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":"53 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322694","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 mixed uncertain structural reliability analysis method considering random and convex set variables with correlation 考虑相关随机变量和凸集变量的混合不确定结构可靠性分析方法

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-28 DOI: 10.1002/qre.3546

Hang Ma, Junxi Bi, Haibin Li, Xinyu Ge, Dachuan Zhou, Jiaming Jiao, Guofu Wang

{"title":"A mixed uncertain structural reliability analysis method considering random and convex set variables with correlation","authors":"Hang Ma, Junxi Bi, Haibin Li, Xinyu Ge, Dachuan Zhou, Jiaming Jiao, Guofu Wang","doi":"10.1002/qre.3546","DOIUrl":"https://doi.org/10.1002/qre.3546","url":null,"abstract":"In this paper, a mixed model reliability analysis method is put forward for the problem of assessing the reliability of complex engineering structures containing both random and convex aggregate variables. By integrating the ellipsoidal model with correlation and the interval model, the uncertainty region characterized by the ellipsoidal model with correlation is optimized with full consideration of the limited amount of engineering structure sample data, and the risk region represented by the reliability model is redefined, a new mixed reliability assessment criterion is established, and the minimum safe nonprobability reliability index of the structure is built. A key reference is offered by the safety limit diagram of constant reliability indexes set for the first time for the optimal design of engineering structure reliability. The proposed mixed reliability model is compared and analyzed with three classical models. The sensitivity of nonprobability reliability indexes, influenced by random variable parameters and correlation coefficients, is analyzed. This verification confirms that the new reliability model not only provides an accurate assessment of engineering structures' reliability but also lowers the computational demands of engineering design. In this paper, aero-engine blades and wind turbine blades are taken as examples to expound the validity of the reliability model built using this method and its importance to the structural safety analysis of actual engineering.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":"23 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322805","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 reliability analysis and optimization method for a turbine shaft under combined high and low cycle fatigue loading 高低循环疲劳综合载荷下涡轮机轴的可靠性分析和优化方法

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-26 DOI: 10.1002/qre.3541

Song Bai, Ying Zeng, Tudi Huang, Ke Wang, Hong-Zhong Huang

{"title":"A reliability analysis and optimization method for a turbine shaft under combined high and low cycle fatigue loading","authors":"Song Bai, Ying Zeng, Tudi Huang, Ke Wang, Hong-Zhong Huang","doi":"10.1002/qre.3541","DOIUrl":"https://doi.org/10.1002/qre.3541","url":null,"abstract":"The combined high and low cycle fatigue (CCF) loading condition and random uncertainty exert a considerable impact on the design of turbine shafts. To enhance the fatigue life and reliability, this research proposes a CCF reliability analysis and optimization method for turbine shafts. A CCF fatigue reliability analysis framework is established, which focuses on the quantification of CCF loading characteristics and random uncertainty. The consideration of CCF loading characteristics contain the loading frequency ratio of high cycle fatigue (HCF) to low cycle fatigue (LCF), the stress amplitude ratio of HCF to LCF, as well as their interaction. The consideration of random uncertainty contains material, geometry and load, and a surrogate model-based method is introduced to improve the quantification efficiency. Through the validation by comparing with experimental data and traditional methods, the proposed method is with higher accuracy and efficiency. By integrating the proposed fatigue reliability analysis method with design optimization, optimal design values for the turbine shaft were identified. This method theoretically extends the shaft's CCF life and provides practical engineering guidance for its reliability analysis and design.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":"46 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140302845","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 assessment of man‐machine systems subject to probabilistic common cause errors 受概率共同原因错误影响的人机系统的可靠性评估

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-23 DOI: 10.1002/qre.3544

Kehui Li, Jianbin Guo, Shengkui Zeng, Haiyang Che

{"title":"Reliability assessment of man‐machine systems subject to probabilistic common cause errors","authors":"Kehui Li, Jianbin Guo, Shengkui Zeng, Haiyang Che","doi":"10.1002/qre.3544","DOIUrl":"https://doi.org/10.1002/qre.3544","url":null,"abstract":"The occurrence of probabilistic common cause errors (PCCEs) in man‐machine systems can lead to multiple human errors being affected by common causes and will contribute greatly to the reliability of the system. In this paper, A reliability modeling method based on event tree (ET)‐fault tree (FT) model for man‐machine systems subjected to PCCEs is proposed. Under the influence of PCCEs, risk factors in the system are not independent, and human errors affected by the same common cause will occur with different probabilities. To describe the dependencies among risk factors, a PCCE gate is proposed to extend FTs in the ET‐FT model. To analyze the impact of common causes on the human error probabilities and quantify the extended FT, an explicit method and an implicit method based on the Cognitive Reliability and Error Analysis Method are proposed. The proposed quantification methods consider the different relationships among multiple common causes in a single model. Finally, the proposed methods are validated in the reliability assessment of the emergency response system under malfunction of the solar wing mechanism.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":"87 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140198322","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 dual‐channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings 一种与贝叶斯深度学习和滚动轴承领域适应性相结合的双通道可转移 RUL 预测方法

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-23 DOI: 10.1002/qre.3539

Junyu Guo, Zhiyuan Wang, Yulai Yang, Yuhang Song, Jia‐Lun Wan, Cheng‐Geng Huang

{"title":"A dual‐channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings","authors":"Junyu Guo, Zhiyuan Wang, Yulai Yang, Yuhang Song, Jia‐Lun Wan, Cheng‐Geng Huang","doi":"10.1002/qre.3539","DOIUrl":"https://doi.org/10.1002/qre.3539","url":null,"abstract":"Many deep learning methods typically assume that the marginal probability distribution between the training and testing bearing data is similar or the same. However, the probability distribution of rolling bearings may deviate significantly under diverse working conditions. To address the above limitations, a novel transferable remaining useful life (RUL) prediction method integrated with Bayesian deep learning and unsupervised domain adaptation (DA) is proposed. First, the signal alignment is executed on the data after the first prediction time to maintain the same granularity and scale across both source and target domains. Second, the multi‐domain features are extracted and sent into the dual‐channel Transformer network (DCTN) incorporating the convolutional block attention module (CBAM) to adequately exploit the abundant degradation information. Then, the DA module is incorporated into the model to mitigate the distribution discrepancies of the extracted high‐level merged features between the source and target domains. Finally, by applying the variational inference method, the DCTN‐CBAM is extended to the Bayesian deep neural network, and the RUL prediction and its corresponding confidence intervals can be conveniently derived. In addition, the generalization capability and effectiveness are validated through six bidirectional transfer RUL prediction tasks across two rolling bearing datasets. The experimental results demonstrate that it could provide a more reliable RUL prediction and efficiently account for the prediction uncertainty.","PeriodicalId":56088,"journal":{"name":"Quality and Reliability Engineering International","volume":"25 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140198239","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

Attribute statistical process control under nonconstant process deterioration 非恒定过程劣化下的属性统计过程控制

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-22 DOI: 10.1002/qre.3536

Barry R. Cobb

引用次数: 0

Directionally sensitive adaptive MEWMA charts with fixed and variable sampling rates 具有固定和可变采样率的方向敏感型自适应 MEWMA 图表

IF 2.3 3区工程技术

Quality and Reliability Engineering International Pub Date : 2024-03-22 DOI: 10.1002/qre.3543

Abdul Haq, Michael B. C. Khoo

引用次数: 0