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» Towards Robustness in Neural Network Based Fault Diagnosis
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ESANN
2008
14 years 13 days ago
Petri nets design based on neural networks
Petri net faulty models are useful for reliability analysis and fault diagnosis of discrete event systems. Such models are difficult to work out as long as they must be computed ac...
Edouard Leclercq, Souleiman Ould el Medhi, Dimitri...
IJSNET
2007
155views more  IJSNET 2007»
13 years 11 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
GLOBECOM
2006
IEEE
14 years 5 months ago
Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks
Abstract— In this contribution, we propose an efficient collaborative strategy for online change detection, in a distributed sensor network. The collaborative strategy ensures t...
Hichem Snoussi, Cédric Richard
ASC
2007
13 years 11 months ago
Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
Abhinav Saxena, Ashraf Saad
BMVC
2010
13 years 9 months ago
Toward Robust Action Retrieval in Video
Retrieving human actions from video databases is a paramount but challenging task in computer vision. In this work, we develop such a framework for robustly recognizing human acti...
Samy Bakheet, Ayoub Al-Hamadi, Bernd Michaelis, Us...