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A Hybrid Modular Approach for Dynamic Fault Tree Analysis

Sohag Kabir, Koorosh Aslansefat, Ioannis Sorokos, Yiannis Papadopoulos, Savas Konur
2020 IEEE Access  
Over the years, several approaches have been developed for the quantitative analysis of dynamic fault trees (DFTs).  ...  INDEX TERMS Reliability analysis, fault tree analysis, dynamic fault trees, modularisation, petri nets.  ...  ACKNOWLEDGMENT The authors would like to thank EDF Energy R&D UK Centre and AURA Innovation Centre for their support.  ... 
doi:10.1109/access.2020.2996643 fatcat:7tav5r6xnfdldo6iu24bq5lnta

Reliability estimation of fault-tolerant systems: tools and techniques

R. Geist, K.S. Trivedi
1990 Computer  
Reliability modeling of fault-tolerant computing systems has become an integral part of the system design process, especially for those systems with life-critical applications such as aircraft and spacecraft  ...  Within this arena, certain additional complexity constraints that typically render the classical modeling tools inadequate compound the difficulty in searching for solutions to this trade-off problem.  ...  Model types can include common reliability/availability models such as fault trees, reliability block diagrams, and Markov and semi-Markov chains.  ... 
doi:10.1109/2.56852 fatcat:abh4ofctkvbatkymj67ikofj64

2020 Index IEEE Transactions on Reliability Vol. 69

2020 IEEE Transactions on Reliability  
Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process.  ...  ., +, TR Dec. 2020 1239-1253 Markov processes A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process.  ... 
doi:10.1109/tr.2021.3050424 fatcat:fpn4y3gddvfobm3v7c25iogmxi

Closed-form solution of decomposable stochastic models

Jon A. Sjogren
1992 Computers and Mathematics with Applications  
Markov and semi-Markov processes are increasingly being used in the modeling of complex reconfigurable systems (fault-tolerant computers).  ...  The estimation of the reliability (or some measure of performance) of the system reduces to solving the process for its state probabilities.  ...  INTRODUCTION Modern reliability modeling practice involves several techniques, including Fault-Tree analysis and (semi)-Markov processes.  ... 
doi:10.1016/0898-1221(92)90091-u fatcat:amrgi3dkevfudnsqmz4pgxmgum

SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities [article]

Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Jan Reich, Panayiotis Kolios, Maria K. Michael, Theocharis Theocharides, Georgios Ellinas, Daniel Schneider, Yiannis Papadopoulos
2022 arXiv   pre-print
It is a prototype instantiation of the Executable Digital Dependable Identity (EDDI) concept, which aims to create a model-based solution for real-time, data-driven dependability assurance for multi-robot  ...  This paper proposes a new reliability modeling approach called SafeDrones to help address this issue by enabling runtime reliability and risk assessment of UAVs.  ...  A Semi-Markov Process (SMP) is a special type of Markov process that has the ability to work with nonexponential failure distributions [29] .  ... 
arXiv:2207.05643v1 fatcat:buarvbzmnvbodckzhhqk63e5ge

Role of Machine Learning in WSN and VANETs

Maryam Gillani, Hafiz Adnan Niaz, Muhammad Tayyab
2021 International Journal of Electrical and Computer Engineering Research  
For such dynamicity, Machine learning (ML) approaches are considered favourable.  ...  ML can be described as the process or method of self-learning without human intervention that can assist through various tools to deal with heterogeneous data to attain maximum benefits from the network  ...  Q-learning has resolved the unicast problem among WSN and VANETs successfully through targeted neighbour intersections [41] . 2) Markov Decision Process Markov Decision Process (MDP) helps in making  ... 
doi:10.53375/ijecer.2021.24 fatcat:72mtbdb3uvaepj6efg7lfz6x6q

Review and Perspectives of Machine Learning Methods for Wind Turbine Fault Diagnosis

Mingzhu Tang, Qi Zhao, Huawei Wu, Ziming Wang, Caihua Meng, Yifan Wang
2021 Frontiers in Energy Research  
This study provides a comprehensive review of recent studies on ML methods and techniques for WT fault diagnosis.  ...  In the past decades, machine learning (ML) has showed a powerful capability in fault detection and diagnosis of WTs, thereby remarkably reducing equipment downtime and minimizing financial losses.  ...  The SVM solution process can be regarded as the solution process of a convex quadratic problem, which has a global optimal solution. Thus, SVM is widely used in the fault diagnosis field.  ... 
doi:10.3389/fenrg.2021.751066 fatcat:bzniyxsgofh3pltcnrxd6avhbq

Composing hierarchical stochastic model from SysML for system availability analysis

Fumio Machida, Jianwen Xiang, Kumiko Tadano, Yoshiharu Maeno
2013 2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE)  
model and a static fault tree.  ...  In particular, from SysML-based system specifications, a toplevel fault tree and associated stochastic reward nets are automatically generated in hierarchical manner.  ...  Most studies are based on fault tree and incorporate dynamic aspects with introducing dynamic gates such as FDEP which can be transformed into Markov chains (e.g., [3] [12] [20] ).  ... 
doi:10.1109/issre.2013.6698904 dblp:conf/issre/MachidaXTM13 fatcat:ge3rv5u2dzdddic5vwhgs6oova

Cyber-Physical Systems for Wide-Area Situational Awareness [chapter]

C. Alcaraz, L. Cazorla, J. Lopez
2017 Cyber-Physical Systems  
However, their application in SA solutions for the protection of large control distributions against unforeseen faults may be insufficient.  ...  The provision of these services as an integral part of the SA brings about a new research field known as wide-area situational awareness (WASA), highly dependent on CPSs for control from anywhere across  ...  Cazorla is supported by a FPI fellowship from the Junta de Andalucía through the project FISICCO (P11-TIC-07223).  ... 
doi:10.1016/b978-0-12-803801-7.00020-1 fatcat:fzbs5dysqvaitgdra3mj2x3upy

Bayesian networks Applications on Dependability, Risk Analysis and Maintenance

G. Medina Oliva, P. Weber, C. Simon, B. Iung
2009 IFAC Proceedings Volumes  
This trend is due to the benefits that Bayesian networks provide in contrast with other classical methods of dependability analysis such as Markov Chains and Fault Trees.  ...  In this paper, a bibliographical review is presented about the use of Bayesian networks over the last decade on dependability, risk analysis and maintenance.  ...  Fault trees The use of fault trees is based on a hypothesis: a Boolean representation for the events.  ... 
doi:10.3182/20090610-3-it-4004.00042 fatcat:paogiqjktzf5jmrx6jn4ji2byu

Availability analysis of blade server systems

W. E. Smith, K. S. Trivedi, L. A. Tomek, J. Ackaret
2008 IBM Systems Journal  
This approach is based on an availability model that combines a high-level fault tree model with a number of lowerlevel Markov models.  ...  The two-level hierarchical decomposition proposed here is suitable for the availability modeling of blade server systems such as IBM BladeCentert, a commercial, high-availability multicomponent system  ...  In the two-level hierarchical approach that is employed in this analysis, each subsystem is modeled as a Markov chain, whereas the entire system is modeled as a fault tree because some of the system component  ... 
doi:10.1147/sj.2008.5386524 fatcat:gpzwh6z5rfdijefzfipvw6qogq

An overview of fault tree analysis and its application in model based dependability analysis

Sohag Kabir
2017 Expert systems with applications  
Fault Tree Analysis (FTA) is a well-established and well-understood technique, widely used for dependability evaluation of a wide range of systems.  ...  Thirdly, this paper reviews a number of prominent MBDA techniques where fault trees are used as a means for system dependability analysis and provides an insight into their working mechanism, applicability  ...  Insert the top event of the fault tree in the first column of the first row. 3. Scan through the table, and for each fault tree gate: a.  ... 
doi:10.1016/j.eswa.2017.01.058 fatcat:ovurt2fc3fes3ebws2oimkmabu

Modeling the resilience of large and evolving systems [article]

Mohamed Kaaniche , Andrea Bondavalli
2012 arXiv   pre-print
We mainly focus on quantitative evaluation approaches and, in particular, on model-based evaluation techniques that are commonly used to evaluate and compare, from the dependability point of view, different  ...  This paper summarizes the state of knowledge and ongoing research on methods and techniques for resilience evaluation, taking into account the resilience-scaling challenges and properties related to the  ...  Unfortunately not all the existing systems and their features can be captured properly by Markov processes; in some cases more general processes (e.g., semi-Markov, Markov Regenerative or even more non-Markovian  ... 
arXiv:1211.5738v1 fatcat:4sn756frfvgfnkb7pg55vh72ca

Dynamic reliability: towards an integrated platform for probabilistic risk assessment

P.E. Labeau, C. Smidts, S. Swaminathan
2000 Reliability Engineering & System Safety  
Dynamic reliability methods are powerful mathematical frameworks capable of handling interactions among components and process variables explicitly.  ...  This paper defines the key components of such a platform and for each component, provides a detailed review of techniques available for their implementation.  ...  A multi-layered modeling approach can be adopted whereby an event in the ESD can be derived from a fault tree, reliability block diagram or as a result of a Markov process.  ... 
doi:10.1016/s0951-8320(00)00017-x fatcat:k6h3hliez5bhxnryrwrmvb6rnu

Context-Awareness Using Anomaly-Based Detectors for Smart Grid Domains [chapter]

Cristina Alcaraz, Lorena Cazorla, Gerardo Fernandez
2015 Lecture Notes in Computer Science  
Early detection of anomalies so as to detect and prevent unexpected faults or stealthy threats is attracting a great deal of attention from the scientific community because it offers potential solutions  ...  The result of this investigation is a guideline for the construction of preventive solutions that will help improve the context-awareness in the control of Smart Grid domains in the near future.  ...  The second author has been funded by a FPI fellowship from the Junta de Andalucía through the project FISICCO (P11-TIC-07223).  ... 
doi:10.1007/978-3-319-17127-2_2 fatcat:zbmr2bqzgfb6rlqsh7o4nat7ka
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