2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)最新文献_第6页

Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system 任务可靠性驱动的多状态智能制造系统风险维护方法

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944578

Ruoyu Liao, Yihai He, Xin Zheng, Yuqing Zhang

引用次数: 1

Organisers and Committees 主办机构及委员会

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/icrms55680.2022.9944583

引用次数: 0

Operational Risk Modeling of CNC Machine Tool Considering Workpiece Quality 考虑工件质量的数控机床运行风险建模

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944597

Xin Zheng, Yihai He, Ruoyu Liao, Yuqing Zhang

{"title":"Operational Risk Modeling of CNC Machine Tool Considering Workpiece Quality","authors":"Xin Zheng, Yihai He, Ruoyu Liao, Yuqing Zhang","doi":"10.1109/ICRMS55680.2022.9944597","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944597","url":null,"abstract":"With the advent of the era of big data and intelligent manufacturing, the structure of CNC machine tool has become more and more sophisticated and complex, and the risks of CNC machine tool during operation have become more and more diverse. Only by analyzing, evaluating and maintaining CNC machine operational risks activities to reduce its operational risk. Among the risks, substandard workpiece quality has gradually become the biggest risk in the operation of CNC machine tools, and this risk is usually ignored by people. Therefore, this paper proposes a modeling method for CNC machine tools based on operational risk that considers the quality of the workpiece. Firstly, define the operational risk system of CNC machine, and divide the operational risk of CNC machine into two parts: production risk and use risk. Secondly, the production risk and use risk of CNC machine are modeled separately, and the operational risk of CNC machine will be evaluated by Bayesian network for the CNC machine system. Finally, an example is given to illustrate the feasibility of the modeling method.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114833191","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

A Hybrid Approach for Surface Roughness Prediction Based on Multi-domain Feature Fusion and Deep Learning 基于多域特征融合和深度学习的表面粗糙度预测混合方法

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944554

Xiaofeng Wang, Jihong Yan

{"title":"A Hybrid Approach for Surface Roughness Prediction Based on Multi-domain Feature Fusion and Deep Learning","authors":"Xiaofeng Wang, Jihong Yan","doi":"10.1109/ICRMS55680.2022.9944554","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944554","url":null,"abstract":"The prediction of surface roughness in machining is of great influence on the assembly and reliability of precision equipment. Although the existing data-driven models consider both static and dynamic factors, the multi-domain features of dynamic factors are not effectively integrated, which results in unable to effectively capture the deterioration trend of surface roughness. This paper proposed a hybrid approach composed of a theoretical model and a data-driven model. Specifically, a novel deep network framework is designed to achieve the fusion of time-domain and time-frequency domain features. After that, the end-to-end prediction model of signal-to-surface roughness is established by the knowledge self-mining capability of deep learning. In addition, the transfer learning (TL) technique is also introduced to accelerate the training process of the deep learning network. The proposed approach is applied to surface quality inspection of the milling process and promising experimental results demonstrate the effectiveness of the proposed framework in practical engineering applications.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132294072","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

A Multi-objective Optimization Based Safety Requirement Assignment for Aircraft Systems by Using NSGA-II 基于NSGA-II的飞机系统多目标优化安全需求分配

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944587

L. Zhuang, H. Song, J. Zhou, Z. Lu

{"title":"A Multi-objective Optimization Based Safety Requirement Assignment for Aircraft Systems by Using NSGA-II","authors":"L. Zhuang, H. Song, J. Zhou, Z. Lu","doi":"10.1109/ICRMS55680.2022.9944587","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944587","url":null,"abstract":"The assignment of safety requirements is an important task in the design and evaluation of complex aircraft systems. The safety assignment of development assurance level and failure probability for the items/functions can minimize the possibility of errors in the development process. The development assurance levels of the items/functions consisting of the system are taken as decision variables, the assignment principle of development assurance levels and the probability requirement of the top failure conditions are taken as constraints, and the minimization of the development cost and system weight is taken as the optimizing objective, the multi-objective safety requirement assignment model was established. Taking the vector composed of the development assurance levels of all items/functions as the individual chromosome, a method of solving the model based on non-dominated sorting genetic algorithm (NSGA-II) is proposed. Finally, an application instance is given based on a certain fly-by-wire system. The results show that the proposed method can reduce the dependence on designers' experiences or skills effectively.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131233142","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

Degradation Prognostics of Lithium-ion Batteries Based on Partial Features and Long Short-term Memory Network 基于局部特征和长短期记忆网络的锂离子电池退化预测

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944563

Mengyao Geng, Huixing Meng, X. An, Jinduo Xing

引用次数: 0

Optimal Ordering and Replacement Scheduling for a Deteriorating System Subject to Shocks 冲击下劣化系统的最优订货与更换计划

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944600

Wenjie Dong, Min Liu, Sifeng Liu

{"title":"Optimal Ordering and Replacement Scheduling for a Deteriorating System Subject to Shocks","authors":"Wenjie Dong, Min Liu, Sifeng Liu","doi":"10.1109/ICRMS55680.2022.9944600","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944600","url":null,"abstract":"This paper investigates a spare unit ordering and replacement policy for a deteriorating system with shocks in seeking for the optimal number of minimal repairs. The original system suffers from both deterioration and external shocks, in which the shocks are divided into two distinct categories with different time-dependent probabilities, including a non-fatal shock whose damage can be completely removed by a minimal repair and a fatal shock which can also break down the system. To be specific, the original system failure is subject to a competing failure process, where it occurs at the deteriorating failure time or at the first appearance epoch of a fatal shock. A spare unit with a constant delivery time is ordered emergently at system failure or preventively when the number of minimal repairs reaches a value, whichever occurs first, for the sake of minimizing the long run average cost rate in one renewal cycle. The optimal number of minimal repairs is theoretically demonstrated and an illustrative example is designed as a validation of the theoretical results, as well as sensitivity analyses of some key parameters.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123684957","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

Model and Application of Intelligent Equipment Health Monitoring and Intelligent Warning Based on the Interaction of Virtual Reality 基于虚拟现实交互的智能设备健康监测与智能预警模型及应用

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944556

Yaohua Deng, Zilin Zhang, Xiali Liu, Yujian Lu, Guanhao Chen, Q. Lu

{"title":"Model and Application of Intelligent Equipment Health Monitoring and Intelligent Warning Based on the Interaction of Virtual Reality","authors":"Yaohua Deng, Zilin Zhang, Xiali Liu, Yujian Lu, Guanhao Chen, Q. Lu","doi":"10.1109/ICRMS55680.2022.9944556","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944556","url":null,"abstract":"The modeling of reliability of the complex equipment has many problems, such as multi-source reliability data, extremely unbalanced data distribution, uncertain information, weak model interpretation ability, and high misjudgment rate. This paper integrates cyber and physical system, deep learning and interpretable artificial intelligence to build virtual and real integration architecture for the health monitoring of marine equipment, to convert human “knowledge” into actual model and embed into deep learning network, and then proposes a migration health diagnosis method of large marine equipment lifting system based on the interaction of virtual reality. In addition, to transform the health warning problem of marine equipment into reinforcement learning problem of the continuous interaction between intelligent warning system and marine equipment, to establish the deep reinforcement learning model of the end-to-end mapping of “health state-warning strategy” for the intelligent warning decision of marine equipment. Finally, taking the marine equipment lifting system as an example, the application method of the model proposed above is introduced and its validity is verified.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310160","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

A Mode-based Approach for Lognormal Parameter Estimation on Heavily Censored Data 一种基于模型的重删数据对数正态参数估计方法

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944591

R. Jiang, F. Q. Qi, Y. Cao

{"title":"A Mode-based Approach for Lognormal Parameter Estimation on Heavily Censored Data","authors":"R. Jiang, F. Q. Qi, Y. Cao","doi":"10.1109/ICRMS55680.2022.9944591","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944591","url":null,"abstract":"The density function of the lognormal distribution is unimodal and its mode is always smaller than its median life. For the type-I censoring test, if the censoring time is not larger than the median life, the censoring degree of the dataset obtained in this way will be larger than 50% on average, implying that the dataset is heavily censored. In this case, the classical parameter estimation methods generally cannot provide stable estimates, but a relatively accurate estimate of the mode can be obtained. According to this argument, this paper proposes a mode-based approach for estimating the parameters of the lognormal distribution on heavily censored data. The proposed approach first uses the midpoint Kaplan-Meier estimator to augment the data; then uses the lognormal Q-Q plot to estimate the mode of the density function, from which the scale parameter can be expressed as a function of the shape parameter; and finally uses a single-parameter maximum likelihood method to estimate the shape parameter. Six datasets are analyzed to illustrate the proposed approach and its appropriateness.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"7 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803711","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