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This paper is about fault detection and identification of discrete event systems. The proposed approach is based on Petri nets (PNs) that are used to design reference and faulty models. The main contribution concerns the design and identification of these models according to the statistical analysis of the alarm sequences that are collected on the considered system. The model structure is described...
We study the statistical relationship between angular position and target for industrial robots on a micrometric scale and this leads us to understand the angular position stochastic structure. The concept of granular angular space is introduced and transposed in the Cartesian space. Modeling is based on experimental work performed for a Kuka and a Samsung robot. The influence of workspace location,...
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