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Graphical tools for generating qualitative redundant relations

Rahma Smaili, Rafika El Harabi, Mohamed Naceur Abdelkrim
2016 International Journal of Reliability and Safety  
To perform fault diagnosis for multi-energy systems, the causal graph-based methods are well-suited for modelling and monitoring purposes.  ...  The performance of the developed approach is explained using two illustrative examples (systems with single and coupled energies) and discussed in detail with the existing bond graph method.  ...  FDI schemes based on observers are well-suited for linear models and so extended to a wider class of non-linear dynamic models, for a more general class of faults.  ... 
doi:10.1504/ijrs.2016.076344 fatcat:6bth6mkn3neezgshmbyon2gdhy

Special Issue on Model-Based Diagnostics

Peter Struss, Gregory Provan, Johan de Kleer, Gautam Biswas
2010 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
Model-based FDI approaches include the parity-space approach, the observer-based approaches, and methods based on parameter identification [3] , [4] .  ...  A fault-diagnosis method based on a timed discrete-event approach using interval observers is exploited by Meseguer et al. to solve the problem of FDI given a set of sensors used for the global control  ...  Provan is a member of the Association for the Advancement of Artificial Intelligence and the Sigma Xi Research Society.  ... 
doi:10.1109/tsmca.2010.2055210 fatcat:37syd3loqzaupkbztsyiok5c2a

Bond Graph And Bayesian Networks For Reliable Diagnosis

Abdelaziz Zaidi, Belkacem Ould Bouamama, Moncef Tagina
2011 Zenodo  
Bond Graph as a unified multidisciplinary tool is widely used not only for dynamic modelling but also for Fault Detection and Isolation because of its structural and causal proprieties.  ...  This approach consists of associating the evaluated residuals and the components reliability data to build a Hybrid Bayesian Network.  ...  The use of reliability data in FDI is introduced by [15] who proposed the improvement of decision making in ARR based approaches by using reliability data and Bayesian Networks (BN) [16] .  ... 
doi:10.5281/zenodo.1071885 fatcat:drkstdz5pnebfak6zpwshyw6vm

Fault detection and classification using Kalman filter and genetic neuro-fuzzy systems

Haris M. Khalid, Amar Khoukhi, Fouad M. Al-Sunni
2011 2011 Annual Meeting of the North American Fuzzy Information Processing Society  
The proposed scheme is evaluated extensively on a two-tank process used in industry exemplified by a benchmarked laboratory scale coupled-tank system.  ...  The fault classification has been made effective by implementing a hybrid neuro-fuzzy Inference system.  ...  This prompted us, in this paper, to propose a hybrid genetic neuro-fuzzy approach to the FDI problem, which meets the requirements for a quick and reliable fault detection and isolation scheme.  ... 
doi:10.1109/nafips.2011.5751925 fatcat:4gzp72oqc5bmxku46dxmg4b5mu

SCIENTIFIC-THEORETICAL PROBLEMS OF ASSESSMENT OF INTER-COUNTRY INTEGRATION IN E-GOVERNMENT ENVIRONMENT
НАУЧНО-ТЕОРЕТИЧЕСКИЕ ПРОБЛЕМЫ ОЦЕНКИ ИНТЕГРАЦИОННЫХ ПРОЦЕССОВ МЕЖДУ СТРАНАМИ В СРЕДЕ ЭЛЕКТРОННОГО ГОСУДАРСТВА

Rasim Alguliyev, Gulnara Nabibayova
2017 Problems of Information Society  
This paper studies various integration indicators of countries proposed by researchers and experts in a number of scientific works in order to study the inter-country integration processes.  ...  Problem solution methods consisting of development of a decision support system using data warehouse technology and OLAP are demonstrated. Their brief characteristics are presented.  ...  Since the trade and FDI are two primary tools for accessing the foreign resources and markets, a combination of trade-based and FDI-based indicators is proposed for the integration assessment.  ... 
doi:10.25045/jpis.v08.i1.05 fatcat:zxpkujtmbnffljbpxptdxxvugq

Explaining the FDI Patterns in Central and Eastern Europe: a Neural Network Approach

Darius Plikynas, Yusaf H. Akbar
2005 Ekonomika  
Traditional linear regression approaches have had difficulty in achieving conceptually and statistically reliable results. In this paper, we offer a novel approach to examining FDI in the CEE region.  ...  The key tasks addressed in this research are (i) a neural network based FDI forecasting model and (H) nonlinear evaluation of the determinants of FDI.  ...  A number of theoretical and empirical studies have suggested that the effectiveness of a traditional quantitative FDI analysis based on linear approach is restricted by data problems related to transitional  ... 
doi:10.15388/ekon.2005.17410 fatcat:nnroyvqwsrefxgz4xfpzy3pk7q

False Data Injection Attack Detection based on Hilbert-Huang Transform in AC Smart Islands

Moslem Dehghani, Mohammd Ghiasi, Taher Niknam, Abdollah Kavousi-Fard, Sanjeevikumar Padmanaban
2020 IEEE Access  
As a result, it is found that the HHT approach is completely efficient and reliable for FDIA detection target in AC-SI.  ...  In this regards, time-frequency-based differential approach is proposed for SI cyber-attack detection according to non-stationary signal assessment.  ...  Authors in paper [16] proposed a connection between grid observability and attack detectability by a graph-theoretic design.  ... 
doi:10.1109/access.2020.3027782 fatcat:omfkfgu43reaxpyripjwzrip5m

Structural-constrained Methods for the Identification of Unobservable False Data Injection Attacks in Power Systems [article]

Gal Morgenstern, Tirza Routtenberg
2021 arXiv   pre-print
Thus, based on the proposed structural and sparse constraints, we develop two novel low-complexity methods for unobservable FDI attack identification: 1) a modification of the state-of-the-art orthogonal  ...  The proposed methods are based on formulating structural, sparse constraints on both the attack and the system loads.  ...  STRUCTURAL-BASED GIC APPROACH FOR THE IDENTIFICATION OF UNOBSERVABLE FDI ATTACKS Considering the unobservable FDI attack formation and further sparsity restrictions, the additional power caused by the  ... 
arXiv:2003.08715v3 fatcat:4vdwvyxewnh7ldr7ztbmdklz6u

Comprehensive Survey and Taxonomies of False Injection Attacks in Smart Grid: Attack Models, Targets, and Impacts [article]

Haftu Tasew Reda, Adnan Anwar, Abdun Mahmood
2021 arXiv   pre-print
Recently, false data injection (FDI) has become one of the most critical cyberattacks, and appears to be a focal point of interest for both research and industry.  ...  To this end, this paper presents a comprehensive review in the recent advances of the FDI attacks, with particular emphasis on 1) adversarial models, 2) attack targets, and 3) impacts in the Smart Grid  ...  In the strong attack regime, the adversary compromises a sufficient number of meters such that the system state becomes unobservable by the SE utilising a graph theoretic approach, where as in the weak  ... 
arXiv:2103.10594v1 fatcat:ovgq6m43nbd4nk32gwdtpuzjve

Frequency Stability Assessment of Grid-forming VSG in Framework of MPME with Feedforward Decoupling Control Strategy

Chang Li, Yaqian Yang, Nenad Mijatovic, Tomislav Dragicevic
2021 IEEE transactions on industrial electronics (1982. Print)  
General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications  ...  that users recognise and abide by the legal requirements associated with these rights.  Users may download and print one copy of any publication from the public portal for the purpose of private study  ...  Extensive research has been carried out in the area of designing controls for accurate load sharing in parallel DC-DC converters, e.g. droop-based methods [5] - [8] , integral-variable-structure-and  ... 
doi:10.1109/tie.2021.3099236 fatcat:hy4yykxbp5b25ho3reo7aw22oy

Illustration of Step-Wise Latent Class Modeling With Covariates and Taxometric Analysis in Research Probing Children's Mental Models in Learning Sciences

Dimitrios Stamovlasis, George Papageorgiou, Georgios Tsitsipis, Themistoklis Tsikalas, Julie Vaiopoulou
2018 Frontiers in Psychology  
LCA is used to obtain a typology based on observed variables and to further investigate how the encountered classes might be related to external variables, where the effectiveness of classification process  ...  Moreover, taxometric analysis, a method designed to detect the type of the latent structural model, categorical or dimensional, is introduced, along with the relevant basic concepts and tools.  ...  Field Dependence/Independence (FDI) FDI ability of the subjects was assessed by a version of the Witkin et al. (1971) Group Embedded Figures Test (GEFT).  ... 
doi:10.3389/fpsyg.2018.00532 pmid:29713300 pmcid:PMC5911829 fatcat:jh7eyuedcvbt5n5p5mbbdh5a3q

A particle filtering-based framework for real-time fault diagnosis and failure prognosis in a turbine engine

Marcos E. Orchard, George J. Vachtsevanos
2007 2007 Mediterranean Conference on Control & Automation  
Data from a seeded fault test is used to validate the proposed approaches.  ...  This paper presents the implementation of an online particle-filtering-based framework for fault diagnosis and failure prognosis in a turbine engine.  ...  ACKNOWLEDGMENT The research reported in this paper was partially supported by DARPA and Pratt and Whitney under the DARPA Prognosis program contract no. HR0011-04-C-001.  ... 
doi:10.1109/med.2007.4433871 fatcat:4gi44tpphvb23m44ye6n6anguq

Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

Qi Chen, Wenfeng Tian, Wuwei Chen, Qadeer Ahmed, Yanming Wu
2018 Sensors  
The results generated by numerical simulations show that the proposed FDI system can detect and isolate all the injected faults, which is consistent with the theoretical analysis by SA, and also eventually  ...  In order to monitor the functions of ABS and avoid any malfunction, a model-based methodology with respect to structural analysis is employed in this paper to achieve an efficient fault detection and identification  ...  Acknowledgments: We acknowledge Matthew Yard from the EcoCAR2 team in the Ohio State University for the experimental data, and appreciate Zhigang Yao, Jincheng Wang, and Jianjun Zhou for their helps with  ... 
doi:10.3390/s18124468 fatcat:atc3m7ybxfh5no3vakhbsv7tyu

Review of the Quantitative Resilience Methods in Water Distribution Networks

Qing Shuang, Hui Jie Liu, Erik Porse
2019 Water  
focus on the quantitative resilience methods of WDN are classified as surrogate measures, simulation methods, network theory approaches, and fault detection and isolation approaches.  ...  Finally, this study indicates the challenges associated with the quantification of WDNs that should be overcome for achieving improved resilience assessments in the future.  ...  The FDI approaches included hydraulic-based and water quality-based FDIs. The existing quantitative methods on WDN resilience were then grouped and reviewed.  ... 
doi:10.3390/w11061189 fatcat:oqkk7o23qffvlg3sguq4acpaou

A Hierarchical Model-based approach to Systems Health Management

Gautam Biswas, Sankaran Mahadevan
2007 2007 IEEE Aerospace Conference  
This paper discusses a model-based approach to ISHM that combines fault detection, isolation and identification, fault-adaptive control, and prognosis into a common framework.  ...  By incorporating physics of failure models into component models the dynamic behavior of a failing or degrading system can be derived by simulation.  ...  ALGORITHMS FOR FAULT DIAGNOSIS AND PROGNOSIS Model-based methods for fault detection, isolation, and degradation analysis depart from traditional approaches by exploiting analytical redundancy between  ... 
doi:10.1109/aero.2007.352943 fatcat:eivp5aqqnnfz7ksqmpe53x5avy
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