Moamar Sayed Mouchaweh

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This article presents a plastic injection moulding monitoring module based on knowledge built on-line using feedback from production data. A fuzzy classifier was especially developed for this application. It is based on unsupervised and supervised classification methods. The role of the first one is to identify the functioning modes of the process whereas(More)
We use learning methods to build classiÿers in using a set of training samples. A classiÿer is capable to assign a new sample into one of the diierent learnt classes. In a non-stationary work environment, a classiÿer must be retrained every time a new sample is classiÿed, to obtain new knowledge from it. This is an impractical solution since it requires the(More)
This paper presents a Boolean discrete event model based approach for Fault Detection and Isolation (FDI) of manufacturing systems. This approach considers a system as a set of independent components composed of discrete actuators and their associated discrete sensors. Each component model is only aware of its local desired fault free behavior. The(More)