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Reliability Engineering & System Safety
IF
4.04
Papers
5780
Papers 5778
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#1Jiayue Xue (UofU: University of Utah)H-Index: 2
#2Farshad Mohammadi (UofU: University of Utah)H-Index: 2
Last. Zhaoxia Pu (UofU: University of Utah)
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Abstract A Hurricane is a severe weather event that has caused massive blackouts in the United States. Previous studies about a hurricane's impact on the power system were mainly conducted through statistical analysis. However, there is limited research that reveals the physical law governing power outage and system-level performance. Therefore, this paper investigates the impact of transmission tower damage and failure on the performance of the power transmission network during a hurricane. To ...
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#1Ruihua Jiao (USTB: University of Science and Technology Beijing)H-Index: 1
#2Kaixiang Peng (USTB: University of Science and Technology Beijing)H-Index: 14
Last. Chuanfang Zhang (USTB: University of Science and Technology Beijing)H-Index: 2
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Abstract The monitoring of fault evolution trend and the prediction of remaining useful life (RUL) are of great significance for complex engineering system since it can provide helpful decision support for maintenance. In general, it is difficult to distinguish the evolution tendency and the mode of multiple faults directly from original collected databases. To address this problem, a novel fault monitoring and RUL prediction framework under multiple fault modes is proposed in this paper, which ...
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#1Shiqi Fan (LJMU: Liverpool John Moores University)H-Index: 3
#2Eduardo Blanco-Davis (LJMU: Liverpool John Moores University)H-Index: 5
Last. Xinping Yan (WUT: Wuhan University of Technology)H-Index: 28
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Abstract A data-driven Bayesian network (BN) is used to investigate the effect of human factors on maritime safety through maritime accident analysis. Its novelties consist of (1) manual collection and analysis of the primary data representing frequencies of risk factors directly derived from maritime accident reports, (2) incorporation of human factors into causational analysis with respect to different maritime accident types, and (3) modelling by a historical accident data-driven approach, to...
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#1Yi Zhang (THU: Tsinghua University)H-Index: 23
#2W.G. Weng (THU: Tsinghua University)
ABSTRACT The unintentional release of urban buried gas pipeline may cause crucial consequences to the economy, society and environment. Corrosion and external interference are primary causes of pipeline failure incidents. Due to the complexity and unpredictability of outside influence on the buried gas pipeline, this paper presents an approach to analyze pipeline failure frequency and leakage size caused by corrosion and external interference based on pipeline characteristics. Bayesian network m...
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#1Sejin Jung (Konkuk University)H-Index: 2
#2Junbeom Yoo (Konkuk University)H-Index: 8
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Abstract Hazard analysis is a widely-used technique to achieve the system/software safety by analyzing hazards systematically. While programmable logic controller-based digital instrumentation and control systems have been replaced with field programmable gate array (FPGA)-based ones, hazard analysis on FPGA software as well as FPGA-based controllers becomes one of the prerequisites of operational approval. The NUREG/CR-6430 provides applicable processes/methods of software safety hazard analysi...
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#1Reza Ramezani (UI: University of Isfahan)H-Index: 6
#2Juan Antonio Clemente (Complutense University of Madrid)H-Index: 9
Last. Francisco J. Franco (Complutense University of Madrid)H-Index: 6
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Abstract This paper addresses the problem of hardware tasks reliability estimation in harsh environments. A novel statistical model is presented to estimate the reliability, the mean time to failure, and the number of errors of hardware tasks running on static random-access memory-based partially run-time reconfigurable field programmable gate arrays in harsh environments by taking both single-bit upsets and multiple-cell upsets into account. The model requires some features of the hardware task...
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#1Yicheng Zhou (NPU: Northwestern Polytechnical University)H-Index: 6
#2Zhenzhou Lu (NPU: Northwestern Polytechnical University)H-Index: 20
Last. Wanying Yun (Tongji University)H-Index: 1
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Abstract Surrogate model techniques have been widely used for structural systems with expensively evaluated simulations. However, their application to system reliability problems meets the challenge since approximating multiple implicit performance functions is required to estimate small failure probabilities. In this paper, we demonstrate the potential of a newly active learning method based on polynomial chaos expansion (PCE) to alleviate the problem. The method employs Bayesian compressed sen...
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#1Renyan Jiang (CSUST: Changsha University of Science and Technology)H-Index: 14
#2Zhigao Chen (CSUST: Changsha University of Science and Technology)
Abstract It is a common practice to periodically monitor the key performance indicators of an engineered system (ES) and quantitatively evaluate the system's ability to perform its functions. For a specific ES, the technical standards for managing its operations and maintenance are usually available and deal with multiple aspects. Therefore, the performance evaluation of ESs should use a standard-based multi-criteria decision analysis (MCDA) approach. It is different from the generic MCDA method...
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#1Shahaboddin Sean H. Toroghi (Georgia Institute of Technology)H-Index: 1
Last. Valerie M. Thomas (Georgia Institute of Technology)H-Index: 26
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Abstract A quantitative framework is developed to assess the resilience of an electric infrastructure system, including the contributions of temporary service systems. The framework incorporates five dimensions of resilience – robustness, resourcefulness, redundancy, rapidity, and readjust-ability – under various setups for supplementary generation. It differentiates and prioritizes affected end-users. Notional examples illustrate the framework. The formula-based framework demonstrates the resil...
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