Review article methods for fault detection, diagnostics, and prognostics for building systems-a review, part I, HVAC&R Res, vol.11, pp.3-25, 2005. ,
Development of asset fault signatures for Prognostic and Health Management in the nuclear industry, Int. Conf. Progn. Heal. Manag, pp.1-7, 2014. ,
Predictive diagnosis based on a fleet-wide ontology approach, Knowl.-Based Syst, vol.68, pp.40-57, 2014. ,
A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mech. Syst. Signal Process, vol.20, pp.1483-1510, 2006. ,
Integrated software platform for fleet data analysis, enhanced diagnostics, and safe transition to prognostics for helicopter component CBM, Proceedings of Annual Conference of the Prognostics and Health Management Society, pp.1-15, 2010. ,
A new approach to intelligent fault diagnosis of rotating machinery, Expert Syst. Appl, vol.35, pp.1593-1600, 2008. ,
A classifier fusion system for bearing fault diagnosis, Expert Syst. Appl, vol.40, pp.6788-6797, 2013. ,
Online monitoring of plant assets in the nuclear industry, pp.1-12, 2013. ,
Fault diagnosis method using supervised extended local tangent space alignment for dimension reduction, Measurement, vol.62, pp.1-14, 2015. ,
, On line Monitoring for improving Performance of Nuclear power plants, in: Part 2: Process and component condition monitoring and diagnostics, International Atomic Energy Agency (IAEA), 2013.
Applications of fault detection and diagnosis methods in nuclear power plants: a review, Prog. Nucl. Energy, vol.55, pp.255-266, 2011. ,
Process fault detection based on modeling and estimation methods-a survey, Automatica, vol.20, issue.84, pp.90098-90098, 1984. ,
A review of process fault detection and diagnosis part I: quantitative model-based methods, Comput. Chem. Eng, vol.27, pp.160-166, 2003. ,
Malfunction isolation in linear stochastic systems: application to nuclear power plants, Nucl. Sci. Eng, vol.85, pp.156-166, 1983. ,
Surveillance and fault diagnosis for power plants in the Netherlands: operational experience, Proc IAEA Tech. Comm. Meet. Diagnostic Syst. Nucl. Power Plants, pp.53-70, 1998. ,
Observer-based fault detection and isolation: robustness and applications, Control Eng. Pract, vol.5, issue.97, p.49, 1997. ,
Survey of artificial intelligence methods for detection and identification of component faults in nuclear power plants, Nucl. Technol, vol.119, pp.76-97, 1997. ,
On-line monitoring applications in nuclear power plants, Prog. Nucl. Energy, vol.53, pp.167-181, 2011. ,
A review of process fault detection and diagnosis: part III: process history based methods, Comput. Chem. Eng, vol.27, pp.293-311, 2003. ,
Advance in study of intelligent diagnostic method for nuclear power plant, Yuanzineng Kexue Jishu/Atomic Energy Sci. Technol, vol.42, pp.92-99, 2008. ,
A semiautomatic approach to deriving turbine generator diagnostic knowledge, IEEE Trans. Syst. Man Cybern. Part C Appl. Rev, vol.37, pp.979-992, 2007. ,
Hybrid identification of nuclear power plant transients with artificial neural networks, IEEE Trans. Ind. Electron, vol.51, pp.1438-1443, 2004. ,
Fleet historical cases for predictive maintenance, Int Conf. Surveill. 6, Compiègne, vol.6, pp.25-26, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00638399
A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems, PHM. Int. Conf, pp.1-6, 2008. ,
Fault Diagnosis of Industrial Robots Using Acoustic Signals and Case-Based Reasoning, pp.686-701, 2004. ,
Ontology based information retrieval: an application to automotive diagnosis, Proc. Int. Work Princ. Diagn, pp.9-14, 2009. ,
Predictive Maintenance of railway subsystems using an Ontology based modelling approach, Proc. 9th World Conf. Railw. Res, pp.1-10, 2011. ,
Evidential evolving Gustafson-Kessel algorithm for online data streams partitioning using belief function theory, Int. J. Approx. Reason, vol.53, pp.747-768, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00719620
An evidential evolving multi-modeling approach for system behavior prediction with applications, Mech. Syst. Signal Process, vol.37, pp.213-228, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00719558
Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine, J. Intell. Fuzzy Syst, vol.28, pp.1723-1731, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01265647
Information reconstruction method for improved clustering and diagnosis of generic gearbox signals, Int. J. Progn. Heal. Manage, vol.2, pp.1-9, 2011. ,
A novel ensemble clustering for operational transients classification with application to a nuclear power plant turbine, Int. J. Progn. Heal. Manage, vol.6, pp.1-21, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01176992
Unsupervised ensemble clustering for transients classification in a nuclear power plant turbine, Saf Reliab. Methodol. Appl.-Proc. ESREL Conf, pp.2339-2347, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01787829
Silhouettes, A graphical aid to the interpretation and validation of cluster analysis, J. Comput. Appl. Math, vol.20, pp.90125-90132, 1987. ,
Quadratic assignment as a general data analysis strategy, Br. J. Math. Stat. Psychol, vol.29, pp.190-241, 1976. ,
A cluster separation measure, IEEE Trans. Pattern Anal. Mach. Intell, vol.1, pp.224-227, 1979. ,
DOI : 10.1109/tpami.1979.4766909
Fault diagnosis and failure mode estimation by a data-driven fuzzy similarity approach, Int. J. Perform. Eng, vol.8, pp.49-65, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00777672
Dynamic fuzzy data analysis based on similarity between functions, Fuzzy Sets Syst, vol.105, pp.337-343, 1999. ,
Prediction of major transient scenarios for severe accidents of nuclear power plants, IEEE Trans. Nucl. Sci, vol.51, pp.313-321, 2004. ,
A fuzzy vector valued KNN-algorithm for automatic outlier detection, Appl. Soft Comput. J, vol.9, pp.1263-1272, 2009. ,
An efficient diagnosis system for detection of Parkinson's disease using fuzzy k-nearest neighbor approach, Expert Syst. Appl, vol.40, pp.263-271, 2013. ,
A fuzzy K-nearest neighbor algorithm, IEEE Trans. Syst. Man Cybern. SMC, vol.15, pp.580-585, 1985. ,
Internal versus External cluster validation indexes, Int. J. Comput. Commun, vol.5, pp.27-34, 2011. ,
, Advanced Surveillance, Diagnostics, and Prognostics Techniques Used for Health Monitoring of Systems, Structures, and Components in NPPs, International Atomic Energy Agency (IAEA), 2011.
Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers, Energy, vol.35, pp.5472-5482, 2010. ,
Prognostics and, Health management of industrial equipment, Diagn. Progn. Eng. Syst. Methods Tech. IGI-Global, vol.2012, pp.333-356, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00778377
Equipment monitoring via transient methods EPRI technology innovation program, in: 7th Int. Top. Meet. Nucl. Plant Instrumentation, Control. Human-Machine Interface Technol, pp.1207-1219, 2010. ,
, Functional Data Analysis, 2005.
Applied Functional Data Analysis: Methods and Case Studies, 2002. ,
Ensemble based systems in decision making, Circuits Syst. Mag. IEEE, vol.6, pp.21-45, 2006. ,
Incremental learning for online tool condition monitoring using Ellipsoid ARTMAP network model, Appl. Soft Comput, vol.35, pp.186-198, 2015. ,
A support vector machine integrated system for the classification of operation anomalies in nuclear components and systems, Reliab. Eng. Syst. Saf, vol.92, pp.593-600, 2007. ,
On generative vs. discriminative classifiers: a comparison of logistic regression and naive bayes, Proc. Adv. Neural Inf. Process, vol.28, pp.169-187, 2002. ,
Classification and Regression Trees, 1984. ,
Regularized Linear Discriminant Analysis and Its Application in Microarrays, 2007. ,
The elements of statistical learning: data mining, inference and prediction, Math. Intell, vol.27, pp.83-85, 2005. ,
Fuzzy C-means clustering of signal functional principal components for post-processing dynamic scenarios of a nuclear power plant digital instrumentation and control system, IEEE Trans. Reliab, vol.60, pp.415-425, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00609634
Cross-validatory choice and assessment of statistical predictions, J. R. Stat. Soc, vol.36, pp.111-147, 1974. ,
An insight into classification with imbalanced data: empirical results and current trends on using data intrinsic characteristics, Inf. Sci. (NY), vol.250, pp.113-141, 2013. ,
Cluster ensembles-a knowledge reuse framework for combining multiple partitions, J. Mach. Learn. Res, vol.3, pp.583-617, 2002. ,
A tutorial on spectral clustering, Stat. Comput, vol.17, pp.395-416, 2007. ,
A modified version of the K-means algorithm with a distance based on cluster symmetry, Pattern Anal. Mach. Intell, vol.23, pp.674-680, 2001. ,
Cluster ensemble selection, Stat. Anal. Data Min, vol.1, pp.787-797, 2008. ,
On spectral clustering: analysis and an algorithm, Nips, vol.14, pp.849-856, 2001. ,
Nearest neighbor pattern classification, IEEE Trans. Inf. Theory, vol.13, pp.21-27, 1967. ,
Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS, Eur. J. Oper. Res, vol.156, pp.20-21, 2004. ,
Methods for Multiple Attribute Decision Making, 1981. ,
Learning from imbalanced data, IEEE Trans. Knowl. Data Eng, vol.21, pp.1263-1284, 2009. ,