{"title":"Managing System Failure Risk: Performance Control and Mission Abort Decisions","authors":"Qingan Qiu","doi":"10.1109/ISSSR58837.2023.00018","DOIUrl":"https://doi.org/10.1109/ISSSR58837.2023.00018","url":null,"abstract":"The occurrence of failures in safety-critical systems can result in severe consequences, including loss of life and significant economic impact. Therefore, it is essential to establish effective risk control policies to enhance system survivability. While traditional approaches focus on preventive maintenance, which may be time-consuming and impractical during continuous mission execution, this research proposes an alternative approach. By leveraging the relationship between system performance levels and degradation behavior, opportunities arise for controlling system deterioration through dynamic performance adjustment. Mission abort is also explored as an intuitive way to mitigate safety hazards. To achieve flexible risk control during mission execution, this study dynamically adjusts performance levels and mission abort decisions based on the deterioration level and amount of remaining work. The problem is formulated within the framework of a Markov decision process, and optimal policies are derived by analyzing structural properties. Comparative evaluations of heuristic policies are conducted to provide insights, and it is demonstrated that optimal performance control and mission abort policies exhibit a threshold structure, dependent on the performance level and degradation process. The utilization of condition information for dynamic adjustments offers potential for reducing failure risks and operational costs in safety-critical systems.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115091381","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}
J. Ge, Kristoffer Wernblad Sigsgaard, N. Mortensen, K. B. Hansen, J. K. Agergaard
{"title":"Structured Process Mining in Maintenance Performance Analysis: A Case Study in the Offshore Oil and Gas Industry","authors":"J. Ge, Kristoffer Wernblad Sigsgaard, N. Mortensen, K. B. Hansen, J. K. Agergaard","doi":"10.1109/ISSSR58837.2023.00053","DOIUrl":"https://doi.org/10.1109/ISSSR58837.2023.00053","url":null,"abstract":"Maintenance plays an important role in production-related industries. As the need to better understand maintenance performance at the process level continues to grow, the application of process mining techniques to maintenance performance measurement is emerging. This paper presents a structured process mining approach for analyzing maintenance process performance. This approach enables the identification of potential root causes by enhancing maintenance event logs with contextual information. Multi-level filtering rules are introduced to facilitate the scoping of process mining. A case study was conducted using empirical data from the offshore oil and gas industry. The results show that maintenance process bottlenecks and conformance issues can be identified by comparing the benchmark process to typical process deviations (skipping, self-loop, and back loop). The quantification of process deviation impacts and cause–effect correlation can support maintenance managers in discovering potential root causes of performance issues and taking action for continuous improvement.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115132438","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}
Bingxiang Wang, Xianzhen Huang, Miaoxin Chang, Xingang Wang
{"title":"Dynamic Reliability-Based Optimization for the Graduation Precision of End Gear Tray","authors":"Bingxiang Wang, Xianzhen Huang, Miaoxin Chang, Xingang Wang","doi":"10.1109/ISSSR58837.2023.00025","DOIUrl":"https://doi.org/10.1109/ISSSR58837.2023.00025","url":null,"abstract":"The graduation precision of the end gear tray directly affects the accuracy of the whole tool. By considering the multiple error factors, a graduation precision error model of the end gear tray is established. Then, its dynamic reliability is firstly analyzed by both First-Order-Second-Moment and Second-Order-Fourth-Moment. Besides, the dynamic reliability-based sensitivity and the influence of the parameter variations on the reliability are analyzed. Especially, based on sensitivity analysis, the dynamic reliability-based optimization design is carried out. The result shows that not only the dynamic reliability of the end gear tray graduation precision is greatly improved by optimization, but also the sensitivity of the random parameters is minimized on the premise of reliability assurance, and the volume and the manufacturing cost are both greatly reduced. Finally, Monte Carlo simulation is adopted to test the optimization results of the end gear tray and the result proves the practicality and accuracy of the proposed method.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123796372","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}
{"title":"Insulation Coordination Design for Information Technology Equipment with Higher Overvoltage Category","authors":"Shun Zhang, Haiwen Lu","doi":"10.1109/ISSSR58837.2023.00034","DOIUrl":"https://doi.org/10.1109/ISSSR58837.2023.00034","url":null,"abstract":"This paper explores the design schemes and the technical feasibility for safety compliance when information technology equipment is not to be installed in the general overvoltage category II environments but with the higher transient overvoltage category (overvoltage category III or IV). Herein, a comprehensive review of the different types of overvoltage is presented, including a comparative analysis between temporary and transient overvoltage. Additionally, several pertinent international and industry standards for mitigating the overvoltage category of information technology equipment via supplemental surge protection devices are introduced, supporting the proposed design scheme from both theoretical and regulatory compliance perspectives. Finally, the relevant design considerations were discussed, including critical components selection, minimum clearances requirement, and electric strength requirement. These discussions aim to render the proposal to reduce the overvoltage category more comprehensible, offering practical and economic guidance.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124430129","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}
{"title":"Architectures and Applications of U-net in Medical Image Segmentation: A Review","authors":"Jundi Wang, Lei Han, Dongsheng Ran","doi":"10.1109/ISSSR58837.2023.00022","DOIUrl":"https://doi.org/10.1109/ISSSR58837.2023.00022","url":null,"abstract":"Recently, with the increasing application of deep learning in the medical field, convolutional neural networks, represented by U-Net, has been widely applied in medical image segmentation. The improved U-shaped network structure based on U-Net has gradually become a hot topic in medical image segmentation research. This article summarizes the improvement work related to U-Net from three perspectives: modifying skip connections, adding or replacing blocks and concatenating multiple neural networks. Then, taking the segmentation of retina, lungs, brain, abdomen, and other organs as examples, the characteristics and difficulties of various organ segmentation were introduced. Finally, a summary and outlook were made.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124476491","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}
{"title":"Optimal Mission Abort Planning for Partially Observable System","authors":"Fanping Wei, Shihan Zhou, Xiaobing Ma, Li Yang","doi":"10.1109/isssr58837.2023.00020","DOIUrl":"https://doi.org/10.1109/isssr58837.2023.00020","url":null,"abstract":"Mission abort is proved to be an effective approach to improve the survivability of systems. The existing researches on mission abort generally believe that the degradation state of the system can be completely observed. The prevailing research on mission abort typically assumes fully observability of the system’s state, but in fact, many systems cannot detect the health state completely during the execution of a mission. This paper study the control policy that timely aborts the mission system whose state information cannot be completely monitoring. A partially observable Markov decision process is used to solve the problem by minimizing the cost probably incurred by the failure of mission and system. Some properties of the model are presented and proved.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123004782","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}
{"title":"Remaining Useful Life Prediction Considering Data and Model Uncertainties","authors":"Yuling Zhan, Ziqi Wang, Zhengguo Xu","doi":"10.1109/ISSSR58837.2023.00042","DOIUrl":"https://doi.org/10.1109/ISSSR58837.2023.00042","url":null,"abstract":"Remaining useful life (RUL) prediction plays a great part in prognostics health management (PHM). Recently, machine learning (ML) methods have been widely used in RUL prediction due to their scalability and generalization. However, most of the research focuses on RUL point estimation and neglects the uncertainties that are caused by data noise and modeling inaccuracy. To get more reliable and practical results, an RUL interval prediction method with data and model uncertainty quantification is proposed. Firstly, a series of neural network models with various parameters and structures are constructed and they are trained with bootstrapped data. After that, the outputs of the models are fused to form new time series labels which contain data and model uncertainties, and a new training set consisting of sequential features and new labels is generated. Finally, a heteroscedastic neural network (HNN) is trained to capture both uncertainties as well as output RUL point estimation. The effectiveness of the proposed method is validated on CMAPSS datasets.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728738","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}
{"title":"Flexible Selection for Efficient Latin Hypercube Design Optimization Method in Uncertainty Quantification","authors":"Dong Liu, Jian Shi, Chao Zhang, Di Liu","doi":"10.1109/isssr58837.2023.00048","DOIUrl":"https://doi.org/10.1109/isssr58837.2023.00048","url":null,"abstract":"Design of Experient is an integral part of uncertainty quantification. Latin hypercube designs, including methods such as maximizing distance LHDs and maximizing projection LHDs, are widely used for quantifying and computing engineering uncertainties. In particular, it is challenging to construct efficient designs for large designs with high parameter dimensionality and large data volume. In the current literature, various optimization tools exist to select the optimal LHDs, and each method has its advantages and disadvantages. In this paper, we combine commonly used optimization methods with different space-filling criteria to analyze the effects of parameter dimensionality, data volume, and algorithm hyperparameters for solving the problem of flexibility selection of optimization algorithms. The results of this paper can be used as a guide for the selection of optimization algorithms for experimental design aspects of practical engineering applications.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130090570","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}
{"title":"A Review of Parameter Estimation Methods of the Three-Parameter Weibull Distribution","authors":"Xiaoyu Yang, L. Xie, Yao-Tong Liu, Bingfeng Zhao","doi":"10.1109/ISSSR58837.2023.00013","DOIUrl":"https://doi.org/10.1109/ISSSR58837.2023.00013","url":null,"abstract":"The Weibull distribution, widely employed in reliability engineering, life testing, and failure analysis, stands as a prominent probability distribution. Notably, the three-parameter Weibull distribution proves invaluable in capturing wear-out failure mechanisms within system modeling. This comprehensive review delves into distinct methodologies and techniques on parameter estimation for the three-parameter Weibull distribution, offering detailed comparisons.","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134037937","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}
{"title":"Keynote Speaker II","authors":"","doi":"10.1109/isssr58837.2023.00010","DOIUrl":"https://doi.org/10.1109/isssr58837.2023.00010","url":null,"abstract":"","PeriodicalId":185173,"journal":{"name":"2023 9th International Symposium on System Security, Safety, and Reliability (ISSSR)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134024971","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}