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International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering (ICQR2MSE)

作者： Li, Xiaopeng Wan, Hu Gong, Zhean Wang, Zhonglai Huang, Hong-Zhong Univ Elect Sci & Technol China Sch Mechatron Engn Chengdu 610054 Peoples R China

ISBN: (纸本)9781457712326

The reliability level of the flight control system (FCS) is one of the most important factor for air vehicle safety. Modern FCS usually use redundancy technology and built-in test (BIT) technology to improve the system reliability. However, false alarm (FA), missed alarm (MA) of BIT, the fault coverage and the system state-transition often decrease the system reliability performance. This paper studies the system imperfect fault coverage model (IFCM). This study is based on the overall consideration of the effect on the similar parallel redundancy FCS reliability, which is caused by FA and MA when measuring the fault coverage probability's effect to the system reliability. We use the Hidden Markov model (HMM) to improve BIT measurement capability of the system status transition, and define the system real state. Compared with traditional approaches, the new model has broader applications and provides a better reference for air vehicle flight safety assessment in complex circumstances

关键词： flight control system built-in test false alarm missed alarm imperfect fault coverage model hidden markov model

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Flight Control System Reliability Study Based on Hidden Markov model imperfect fault coverage model-Hidden Markov model

Flight Control System Reliability Study Based on Hidden Mark...

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2011 International Conference on Quality,Reliability,Risk,Maintenance,and Safety Engineering(2011年质量、可靠性、风险、维修性与安全性国际会议暨第二届维修工程国际学术会议 ICQR2MSE 2011)

作者： Xiaopeng LI Hu WAN Zhean GONG Zhonglai WANG Hong-Zhong HUANG School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu China

The reliability level of the flight control system (FCS) is one of the most important factor for air vehicle safety. Modern FCS usually use redundancy technology and built-in test (BIT) technology to improve the system reliability. However, false alarm (FA), missed alarm (MA) of BIT, the fault coverage and the system state-transition often decrease the system reliability performance. This paper studies the system imperfect fault coverage model (IFCM).This study is based on the overall consideration of the effect on the similar parallel redundancy FCS reliability, which is caused by FA and MA when measuring the fault coverage probability’s effect to the system reliability. We use the Hidden Markov model (HMM) to improve BIT measurement capability of the system status transition, and define the system real state. Compared with traditional approaches, the new model has broader applications and provides a better reference for air vehicle flight safety assessment in complex circumstances.

关键词： flight control system built-in test false alarm missed alarm imperfect fault coverage model hidden markov model

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Reliability Analysis of Man-Machine Systems Considering imperfect Error coverage model 35

Reliability Analysis of Man-Machine Systems Considering Impe...

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35th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2024

作者： Guo, Chuqi Lin, Yu Dong, Ling Feng, Zhijie Ye, Luyao Hu, Wenhua Zhou, Siwei Xiang, Jianwen Wuhan University of Technology School of Computer and Artificial Intelligence Wuhan China China Electronic Product Reliability and Environmental Testing Research Institute China Shenglong Electric Group Co. Ltd Wuhan China Wuhan Textile University School of Computer Science and Artificial Intelligence Wuhan China Guangdong Ocean University College of Mathematics and Computer China

ISBN: (纸本)9798350367041

The reliability of man-machine systems refers to the reliability of the performance of both machine subsystems and human subsystems. As the reliability of machine subsystems have significantly improved, the reliability of man-machine systems increasingly depends on human reliability. However, most man-machine system reliability studies assume that once a human error occurs, it will inevitably lead to system or subsystem failure. Our analysis reveals that there are automatic recovery mechanisms in man-machine systems similar to those in machine components, which can detect and correct human errors. Additionally, the coverage of human errors is imperfect. This paper proposes an imperfect Error coverage model of Human Error (IECM), in which the outcomes of human errors are categorized into three possibilities: transient recovery, covered errors, and uncovered errors. Transient recovery refers to human errors that can be corrected by the operator on their own within a short period of time and without adverse effects on the system. Covered errors refer to human errors that can be detected and corrected by other components, systems, or humans. Uncovered errors refer to human errors that are not successfully detected and corrected by other components, systems, or humans. This paper further proposes a quantitative method for calculating the unreliability of man-machine systems. Experimental results demonstrate that, compared to traditional models, the proposed method can analyze the unreliability of man-machine systems more accurately, thereby improving the accuracy of reliability assessments for such systems. © 2024 IEEE.

关键词： human error imperfect fault coverage model man-machine system reliability

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Reliability-redundancy allocation problem considering imperfect fault coverage 21

Reliability-redundancy allocation problem considering imperf...

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21st IEEE International Conference on Software Quality, Reliability and Security (QRS)

作者： Wang, Zixiang Zhou, Siwei Zhao, Dongdong Xiang, Jianwen Wuhan Univ Technol Sch Comp Sci & Technol Wuhan Peoples R China

ISBN: (纸本)9781665458139

The reliability-redundancy allocation problem (RRAP) has been widely investigated during the last decade. In most of existing studies, component failures are assumed to be covered perfectly which means all faults can be timely detected, located, and isolated. However, the coverage could be imperfect in reality and a not-covered component failure may lead to system failure without constraint. In this paper, the RRAP is solved considering the imperfect fault coverage model (IFCM, only faulty components can be covered) and the irrelevance coverage model (ICM, both faulty and irrelevant components can be covered). It has been proved that an excessive level of redundancy may reduce the system reliability rather than improve it when the fault coverage is imperfect. Therefore, when the IFCM and the ICM are considered in the RRAP, in addition to resource constraints, the coverage model itself also limits the level of redundancy. Three benchmark problems are investigated in this paper. The genetic algorithm is adopted to solve the new mixed integer nonlinear programming problem. The results show that the optimal designs of system in the two coverage models are different from the existing researches that only consider the perfect fault coverage model. The redundant components used in the optimal solution are less than the existing studies. The advantage of the ICM over the IFCM is also verified in this paper.

关键词： reliability-redundancy allocation problems imperfect fault coverage model irrelevance coverage model genetic algorithm

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Reliability Analysis of Multi-state System Based on Irrelevance coverage model 27

Reliability Analysis of Multi-state System Based on Irreleva...

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27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC)

作者： Song, Kangning Zhou, Siwei Ye, Luyao Liu, Piaoyi Tian, Jing Xiang, Jianwen Wuhan Univ Technol Sch Comp Sci & Technol Wuhan Peoples R China

ISBN: (纸本)9781665485555

The irrelevance coverage model (ICM) is an extension of the imperfect fault coverage model (IFCM), which considers both uncovered failure and component irrelevance. In the ICM, an irrelevant component cannot occur an uncovered failure since it will be isolated (shutdown) from the system. In traditional ICM, the irrelevant component is triggered by a covered component failure. However, in the multi-state system (MSS), the degrade state of the operational components may also cause the other component to be irrelevant. To address this issue, the minimal irrelevance trigger (MIT) is redefined for the MSS by analyzing the relation between component states and system demand. Further, we extend the ICM to the MSS. We apply multi-state multi-valued decision diagram (MMDD) to calculate the reliability of the MSS in the ICM. The experimental result shows that not only the failure of component but also the deterioration of component may lead to component becoming irrelevant in the MSS.

关键词： multi-state system imperfect fault coverage model irrelevance coverage model reliability

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Reliability analysis of dynamic fault trees with Priority-AND gates based on irrelevance coverage model

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RELIABILITY ENGINEERING & SYSTEM SAFETY 2022年 224卷 1页

作者： Zhou, Siwei Ye, Luyao Xiong, Shengwu Xiang, Jianwen Wuhan Univ Technol Sch Comp Sci & Technol Wuhan 430070 Peoples R China

The irrelevance coverage model (ICM) is an extension of the imperfect fault coverage model (IFCM), which can reduce the risk of uncovered component failures by isolating irrelevant components in systems. However, the ICM has been limited to static systems so far. To address this issue, we extend the ICM to dynamic systems modeled by dynamic fault trees (DFTs) with Priority-AND (PAND) gates. The component irrelevance is analyzed in the DFTs, which shows a component could become irrelevant due to specific sequence failures of some other components, and the implication of irrelevancy may differ from that in static systems. The definition of minimal irrelevance triggers (MITs) and the reduction rules are introduced based on the temporal algebraic framework. The sum of disjoint products (SDP) method is further applied for the quantitative analysis of system reliability. Case studies demonstrate the effectiveness of our method. Furthermore, the ICM can also play a role in the dynamic systems in terms of reliability improvement compared to the IFCM.

关键词： imperfect fault coverage model Irrelevance coverage model Reliability analysis Dynamic fault tree Priority-AND gate

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