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A Fault Detection and Diagnosis Framework for Ambient Intelligent Systems
2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, 2012Ambient intelligence (AmI) systems are smart interactive systems that perceive their surroundings using sensors and act upon them using actuators. One of the most common applications of such systems is Smart Homes. In this context, the ambient system can offer a great level of dependability if it is able to exploit available sensor data in order to ...
Mohamed, Ahmed +2 more
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Fault diagnosis method of the intelligent substation
2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2014The main fault diagnosis algorithms of traditional substation are based on the protections and breakers. And they have not concerned the influence of abnormal communication network to the stable operation of the intelligent substation. Based on the questions mentioned above, this paper introduces the fault information of the intelligent substation ...
Gao Zhan Jun, Wang Jun Shan, Gao Nuo
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An evaluation of intelligent systems for fault diagnosis
Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2002This paper discusses the foundation of intelligent systems sufficient for studying Space station and/or utility power systems, where fault detection are of paramount importance. The functionality of these intelligent systems or tools, such as expert systems, artificial neural networks and fuzzy logic, for aiding in design, control and analysis of power
J.A. Momoh, D. Sobajic, J. Dolce
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Intelligent Fault Diagnosis Methodology
2016There are many approaches that can be used to design a data-driven diagnosis algorithm. Usually, we divide them into three strategies.
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Intelligent diagnosis of transparent faults in automobiles
Proceedings of the 35th SICE Annual Conference. International Session Papers, 2005Use of modern technologies in the manufacture of vehicles are making them more reliable. However, the usefulness (availability) of the vehicles also depends upon how quickly it can be repaired if a fault occurs. The vehicles are always provided with general purpose monitoring instruments to indicate online status of the vehicles.
S. Kher, P.K. Chande
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Study of hybrid intelligent fault diagnosis
2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010), 2010A hybrid intelligent fault diagnosis method is presented for the diversity, uncertainty and complexity of device faults. This method integrates respective advantages of fault tree, fuzzy theory, neural networks and genetic algorithms to form a hybrid approach and is applied to fault diagnosis of fan.
null Guohuan Lou +2 more
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Intelligent Fault Diagnosis at the Australia Telescope
Publications of the Astronomical Society of Australia, 1994AbstractThe Fault Diagnosis Expert System for the Australia Telescope analyses ~12000 items of monitor data every minute that report the health and stability of specific components and signal pathways in the array. These data are divided into signatures which are matched against signatures of known failure modes to diagnose problems with the array ...
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Artificial intelligence approaches to fault diagnosis
IEE Colloquium on Condition Monitoring Machinery, External Structures and Health, 1999Fault diagnosis of control engineering systems can be based upon the generation of signals which reflect inconsistencies between the fault-free and faulty system operation-so-called residual signals. This paper outlines some recent approaches to the generation of residual signals using methods of integrating quantitative and qualitative system ...
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Intelligent fault diagnosis and control reconfiguration
IEEE Control Systems, 1994This paper gives an overview of fault diagnosis and control reconfiguration for complex systems such as those required in the aerospace industry. The presentation starts with a brief review of fault accommodation followed by four specific examples, viewed from the perspective of a control engineer.
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