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| 1 | Measuring reliability under epistemic uncertainty:Review on non-probabilistic reliability metrics显示文摘In this paper,a systematic review of non-probabilistic reliability metrics is conducted to assist the selection of appropriate reliability metrics to model the influence of epistemic uncertainty.Five frequently used non-probabilistic reliability metrics are critically reviewed,i.e.,evidencetheory-based reliability metrics,interval-analysis-based reliability metrics,fuzzy-interval-analysisbased reliability metrics,possibility-theory-based reliability metrics(posbist reliability) and uncertainty-theory-based reliability metrics(belief reliability).It is pointed out that a qualified reliability metric that is able to consider the effect of epistemic uncertainty needs to(1) compensate the conservatism in the estimations of the component-level reliability metrics caused by epistemic uncertainty,and(2) satisfy the duality axiom,otherwise it might lead to paradoxical and confusing results in engineering applications.The five commonly used non-probabilistic reliability metrics are compared in terms of these two properties,and the comparison can serve as a basis for the selection of the appropriate reliability metrics. | Kang Rui ZhangQingyuan Zeng Zhiguo Enrico Zio Li Xiaoyang | 2016 | Chinese Journal of Aeronautics2016，29，3： | 18 |
| 2 | Application of reliability technologies in civil aviation: Lessons learnt and perspectives显示文摘We consider reliability engineering in modern civil aviation industry, and the related engineering activities and methods. We consider reliability in a broad sense, referring to other system characteristics that are related to it, like availability, maintainability, safety and durability. We covered the entire lifecycle of the equipment, including reliability requirement identification, reliability analysis and design, verification and validation of reliability requirements(typically involved in the equipment design and development phase), quality assurance(which typically enters in the manufacturing phase), and fault diagnosis and prognosis and maintenance(which are connected to the operation phase). Lessons learnt from reliability engineering practices in civil aviation industry are given, which might serve as reference for reliability managers and engineers, also from other industries with high reliability requirements. | Enrico ZIO Mengfei FAN Zhiguo ZENG Rui KANG | 2019 | Chinese Journal of Aeronautics2019，32，1： | 9 |
| 3 | Availability-based simulation and optimization modeling framework for open-pit mine truck allocation under dynamic constraints显示文摘We present a novel system productivity simulation and optimization modeling framework in which equipment availability is a variable in the expected productivity function of the system. The framework is used for allocating trucks by route according to their operating performances in a truck-shovel system of an open-pit mine, so as to maximize the overall productivity of the fleet. We implement the framework in an originally designed and specifically developed simulator-optimizer software tool. We make an application on a real open-pit mine case study taking into account the stochasticity of the equipment behavior and environment. The total system production values obtained with and without considering the equipment reliability, availability and maintainability (RAM) characteristics are compared. We show that by taking into account the truck and shovel RAM aspects, we can maximize the total production of the system and obtain specific information on the production availability and productivity of its components. | Mena Rodrigo Zio Enrico Kristjanpoller Fredy Arata Adolfo | 2013 | International Journal of Mining Science and Technology2013，23，1： | 8 |
| 4 | Data-driven reliability analysis of Boeing 787 Dreamliner显示文摘The Boeing 787 Dreamliner,launched in 2011,was presented as a game changer in air travel.With the aim of producing an efficient,mid-size,wide-body plane,Boeing initiated innovations in product and process design,supply chain operation,and risk management.Nevertheless,there were reliability issues from the start,and the plane was grounded by the U.S.Federal Aviation Administration(FAA)in 2013,due to safety problems associated with Li-ion battery fires.This paper chronicles events associated with the aircraft’s initial reliability challenges.The manufacturing,supply chain,and organizational factors that contributed to these problems are assessed based on FAA data.Recommendations and lessons learned are provided for the benefit of engineers and managers who will be engaged in future complex systems development. | Guru PANDIAN Michael PECHT Enrico ZIO Melinda HODKIEWICZ | 2020 | Chinese Journal of Aeronautics2020，33，7： | 6 |
| 5 | A compositional method to model dependent failure behavior based on PoF models显示文摘In this paper, a new method is developed to model dependent failure behavior among failure mechanisms. Unlike the existing methods, the developed method models the root cause of the dependency explicitly, so that a deterministic model, rather than a probabilistic one, can be established. Three steps comprise the developed method. First, physics-of-failure(PoF) models are utilized to model each failure mechanism. Then, interactions among failure mechanisms are modeled as a combination of three basic relations, competition, superposition and coupling. This is the reason why the method is referred to as ‘‘compositional method'. Finally, the PoF models and the interaction model are combined to develop a deterministic model of the dependent failure behavior. As a demonstration, the method is applied on an actual spool and the developed failure behavior model is validated by a wear test. The result demonstrates that the compositional method is an effective way to model dependent failure behavior. | Zhiguo ZENG Yunxia CHEN Enrico ZIO Rui KANG | 2017 | Chinese Journal of Aeronautics2017，30，5： | 4 |
| 6 | Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant显示文摘Fault diagnostics is important for safe operation of nuclear power plants(NPPs). In recent years, data-driven approaches have been proposed and implemented to tackle the problem, e.g., neural networks, fuzzy and neurofuzzy approaches, support vector machine, K-nearest neighbor classifiers and inference methodologies. Among these methods, dynamic uncertain causality graph(DUCG)has been proved effective in many practical cases. However, the causal graph construction behind the DUCG is complicate and, in many cases, results redundant on the symptoms needed to correctly classify the fault. In this paper, we propose a method to simplify causal graph construction in an automatic way. The method consists in transforming the expert knowledge-based DCUG into a fuzzy decision tree(FDT) by extracting from the DUCG a fuzzy rule base that resumes the used symptoms at the basis of the FDT. Genetic algorithm(GA) is, then, used for the optimization of the FDT, by performing a wrapper search around the FDT: the set of symptoms selected during the iterative search are taken as the best set of symptoms for the diagnosis of the faults that can occur in the system. The effectiveness of the approach is shown with respect to a DUCG model initially built to diagnose 23 faults originally using 262 symptoms of Unit-1 in the Ningde NPP of the China Guangdong Nuclear Power Corporation. The results show that the FDT, with GA-optimized symptoms and diagnosis strategy, can drive the construction of DUCG and lower the computational burden without loss of accuracy in diagnosis. | Yue Zhao Francesco Di Maio Enrico Zio Qin Zhang Chun-Ling Dong Jin-Ying Zhang | 2017 | Nuclear Science and Techniques2017，28，3： | 2 |
| 7 | A critique of reliability prediction techniques for avionics applications显示文摘Avionics(aeronautics and aerospace) industries must rely on components and systems of demonstrated high reliability.For this, handbook-based methods have been traditionally used to design for reliability, develop test plans, and define maintenance requirements and sustainment logistics.However, these methods have been criticized as flawed and leading to inaccurate and misleading results.In its recent report on enhancing defense system reliability, the U.S.National Academy of Sciences has recently discredited these methods, judging the Military Handbook(MILHDBK-217) and its progeny as invalid and inaccurate.This paper discusses the issues that arise with the use of handbook-based methods in commercial and military avionics applications.Alternative approaches to reliability design(and its demonstration) are also discussed, including similarity analysis, testing, physics-of-failure, and data analytics for prognostics and systems health management. | Guru Prasad PANDIAN Diganta DAS Chuan LI Enrico ZIO Michael PECHT | 2018 | Chinese Journal of Aeronautics2018，31，1： | 2 |
| 8 | Uncertainty analysis of the adequacy assessment model of a distributed generation system显示文摘 | Yanfu Li Enrico Zio | 2011 | Renewable Energy2011，，： | 1 |
| 9 | Hybrid uncertaintyand sensitivity analysis of the model of a twin-jet aircraft显示文摘 | NICOLA PEDRONI ENRICO ZIO | 2015 | Journal of Aerospace Information Systems2015，12，1： | 1 |
| 10 | Quanti- tative developments in the cognitive reliability and error analysis method (CREAM) for the assessment of human performance显示文摘 | Marseguerra Marzio Zio Enrico Librizzi Massimo | 2006 | Annals of Nuclear Energy2006，33，10： | 1 |
| 11 | Solving advanced network reliability problems by means of cellular automata and Monte Carlo sampling显示文摘 | Claudio M ROCCO S Enrico ZIO | 2005 | Reliability Engineering and System Safety2005，89，2： | 1 |
| 12 | Network theory- based analysis of risk interactions in large engineering projects 显示文摘 | Chao Fang Franck Marie Enrico Zio | 2012 | Reliability Engineering and System Safety2012，，： | 1 |
| 13 | Solving advanced network reliability problems by means of cellular automata and Monte Carlo sampling 显示文摘 | Claudio M Rocco Sa Enrico Zio | 2005 | Reliability Engineering and System Safety2005，89，： | 1 |
| 14 | Risk sensitive particle filtering in support of predictive maintenance 显示文摘 | Compare Michele Zio Enrico | 2013 | Chemical Engineering Transactions2013，33，： | 1 |
| 15 | Some considerations on the treatment of uncertainties in risk assessment for practical decision making显示文摘 | Terje Aven Enrico Zio | 2010 | Reliability Engineering and System Safety2010，，1： | 1 |
| 16 | Quantitative developments in the cognitive reliability and error analysis method ( CREAM ) for the assessment of human performance 显示文摘 | MARZIO MARSEGUERRA ENRICO ZIO MASSIMO LIBRIZZI | 2006 | Annals of Nuclear Energy2006，33，10： | 1 |
| 17 | Fatigue crack growth estimation by relevance vector machine 显示文摘 | Zio Enrico Di Maio Francesco | 2012 | Expert Sys- tems withAppBcation2012，39，10： | 1 |
| 18 | Assessment of the availability of an offshore installation by Monte Carlo simulation显示文摘 | Zio Enrico Baraldi Piero Patelli Edoardo | 2006 | International Journal of Pressure Vessels and Piping2006，83，： | 1 |
| 19 | Combining relevance vector machines and exponential regression for bearing residual life estimation显示文摘 | Maio Francesco Di Tsui Kwok Leung Zio Enrico | 2012 | Me- chanical Systems and Signal Processing2012，31，： | 1 |
| 20 | Optimal relia- bility/availability of uncertain systems via multi-objective genetic algorithms显示文摘 | Marzio Marseguerra Enrico Zio Luca Podofillini | 2004 | IEEE Transactions On Reliability2004，53，3： | 1 |
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