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Electrical Impedance Tomography (EIT) is an imaging technique used to display conductivity changes inside a region of an electrically conductive body. EIT-based sensors are low-cost, can be applied over 3D surfaces, and show multi-touch sensing capabilities, but their drawback is their low spatial resolution. In this paper we propose to solve the EIT reconstruction problem with Artificial Neural Networks...
Complex mechatronic systems are becoming more widespread such as in industrial machinery and robotic systems. Detecting faults in such systems proves to be a challenging task due to the multitude of components that are interacting. In this paper, we demonstrate how we use an unsupervised learning technique to detect accelerated wear patterns in complex systems, where wear interactions between components...
Predicting remaining useful lifetime is key to improving operational efficiency, and increasing the reliability of machinery. This paper presents an approach for increasing the accuracy of diagnostics of systems with multiple components. We first discuss a degradation model for systems, where the deterioration process of a component is influenced by the state of deterioration of the other components...
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