INTELLIGENT SYSTEMS FOR MONITORING AND CONTROL - PROGRAM
The course presents methodologies and techniques to implement intelligent systems for monitoring and control in industrial and environmental applications, typically based on computational computational intelligence approaches.
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Intelligent sensors: Heterogeneous multi-sensor systems. Sensor data analysis. Diagnosys. Fault tolerance. Self-calibration. Adaptivity. Management.
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Sensor networks: Structure. Functions. Adaptivity. Management. Distributed data analysis. Fault tolerance. Diagnosys.
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Measurements: Acquisition and processing of sensor measurement in advanced adaptive infrastructures.
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Sensor signal and image processing: Feature extraction. Multi-sensorial data fusion. Adaptivity of measurement representation, operations and functions to the application needs. Virtual sensors. Information compression.
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Classification and clustering: Classification and clustering of sensor signals. Sensitivitą analysis. Class robustness.
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Data mining and knowledge extraction: Adaptive knowledge extraction from sensor data and system information. Knowledge representation.
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Monitoring: Applications of intelligent system sto complex system monitoring. Applications to industrial process monitoring. Qualitą monitoring. Applications to environmental monitoring.
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Prediction: Applications of intelligent system sto prediction in the industry and the environment. Quality prediction.
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Control: Applications of intelligent system sto control of industrial processes, industrial automation, robotic systems, complex products, power distribution grids, automotive and transport systems.