Optimal fault diagnosis strategy for complex systems considering common cause failure under epistemic uncertainty
暂无分享,去创建一个
[1] Gwo-Hshiung Tzeng,et al. Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..
[2] Akira Yamaguchi,et al. α-Decomposition for estimating parameters in common cause failure modeling based on causal inference , 2013, Reliab. Eng. Syst. Saf..
[3] Zeshui Xu,et al. An outranking sorting method for multi-criteria group decision making using intuitionistic fuzzy sets , 2016, Inf. Sci..
[4] Yong Deng,et al. DS-VIKOR: A New Multi-criteria Decision-Making Method for Supplier Selection , 2018, International Journal of Fuzzy Systems.
[5] Mohammad Nadjafi,et al. Reliability analysis of multi-state emergency detection system using simulation approach based on fuzzy failure rate , 2017, Int. J. Syst. Assur. Eng. Manag..
[6] Ali Fuat Guneri,et al. A new Fine-Kinney-based risk assessment framework using FAHP-FVIKOR incorporation , 2017 .
[7] Jing Bo. Diagnosis strategy for multi-value attribute system based on Rollout algorithm , 2011 .
[8] Rongxing Duan,et al. Fault diagnosis for complex systems based on dynamic evidential network and multi-attribute decision making with interval numbers , 2017 .
[9] Roozbeh Razavi-Far,et al. Failure Prognosis and Applications—A Survey of Recent Literature , 2019, IEEE Transactions on Reliability.
[10] Karim Salahshoor,et al. An Adaptive Passive Fault Tolerant Control System for a Steam Turbine Using a PCA Based Inverse Neural Network Control Strategy , 2018, 2018 World Automation Congress (WAC).
[11] Hu-Chen Liu,et al. A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method , 2015, Appl. Soft Comput..
[12] Dana Kelly,et al. The binomial failure rate common-cause model with WinBUGS , 2009, Reliab. Eng. Syst. Saf..
[13] T. Assaf,et al. Design for diagnosis using a diagnostic evaluation measure , 2006, IEEE Instrumentation & Measurement Magazine.
[14] Cao Yuyan,et al. Fuzzy dynamic fault tree analysis for electro-mechanical actuator based on algebraic model with common-cause failures , 2016 .
[15] Liu Jie,et al. Multi-state system reliability analysis methods based on Bayesian networks merging dynamic and fuzzy fault information , 2019 .
[16] Spilios D. Fassois,et al. Damage/fault diagnosis in an operating wind turbine under uncertainty via a vibration response Gaussian mixture random coefficient model based framework , 2017 .
[17] Jinhua Mi,et al. Application of discrete‐time Bayesian network on reliability analysis of uncertain system with common cause failure , 2018, Qual. Reliab. Eng. Int..
[18] Jinghui Fan,et al. Diagnosis strategy for complex systems based on reliability analysis and MA DM under epistemic uncertainty , 2015 .
[19] Zun-Quan Xia,et al. Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets , 2007, J. Comput. Syst. Sci..
[20] Esmaeil Zarei,et al. Uncertainty Handling in the Safety Risk Analysis: An Integrated Approach Based on Fuzzy Fault Tree Analysis , 2018, Journal of Failure Analysis and Prevention.
[21] Weiwen Peng,et al. Reliability analysis of complex multi-state system with common cause failure based on evidential networks , 2018, Reliab. Eng. Syst. Saf..
[22] Mehrdad Saif,et al. Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions , 2021, IEEE Transactions on Industrial Informatics.
[23] José A. De Doná,et al. Actuator fault tolerant control of systems with polytopic uncertainties using set-based diagnosis and virtual-actuator-based reconfiguration , 2017, Autom..
[24] A. M. Gruzlikov,et al. Using Fuzzy Interacting Observers for Fault Diagnosis in Systems with Parametric Uncertainty , 2017 .
[25] T. Onisawa. An approach to human reliability on man-machine systems using error possibility , 1988 .
[26] T. Assaf,et al. Diagnosis based on reliability analysis using monitors and sensors , 2008, Reliab. Eng. Syst. Saf..
[27] Tao Feng,et al. Reliability analysis for complex systems based on generalized stochastic petri nets and EDA approach considering common cause failure , 2019 .
[28] Joon-Eon Yang,et al. Approximate formulas for treating asymmetrical common cause failure events , 2009 .
[29] Huimin Zhang,et al. New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets , 2013, Inf. Sci..
[30] Ali Mosleh,et al. A general cause based methodology for analysis of common cause and dependent failures in system risk and reliability assessments , 2016, Reliab. Eng. Syst. Saf..
[31] Mohammad Reza Hairi Yazdi,et al. Hybrid Probabilistic Risk Assessment Using Fuzzy FTA and Fuzzy AHP in a Process Industry , 2017, Journal of Failure Analysis and Prevention.
[32] Anjali Awasthi,et al. Green supplier development program selection using NGT and VIKOR under fuzzy environment , 2016, Comput. Ind. Eng..
[33] Živa Bricman Rejc,et al. An extension of Multiple Greek Letter method for common cause failures modelling , 2014 .
[34] Laibin Zhang,et al. A dynamic and quantitative risk assessment method with uncertainties for offshore managed pressure drilling phases , 2018 .
[35] Qi Wang,et al. Fault diagnosis model based on Bayesian network considering information uncertainty and its application in traction power supply system , 2018 .
[36] Sohag Kabir,et al. Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems , 2018, IEEE Access.
[37] Mohammad Reza Hairi Yazdi,et al. Failure probability analysis by employing fuzzy fault tree analysis , 2017, Int. J. Syst. Assur. Eng. Manag..
[38] Tongdan Jin,et al. System Reliability Allocation and Optimization Based on Generalized Birnbaum Importance Measure , 2019, IEEE Transactions on Reliability.
[39] P. Daponte,et al. ADC testing - Part 7 in a series of tutorials in Instrumentation and Measurements , 2006, IEEE Instrumentation & Measurement Magazine.
[40] Min Xie,et al. Investigations of Human and Organizational Factors in hazardous vapor accidents. , 2011, Journal of hazardous materials.