Aim and topics of the course
The aim of the course is to present to students the main techniques related to the fields of industrial automation, data analysis, and experimental activities in mechanical engineering. The topics treated are: the methods for the characterisation of mechanical systems used both in experiments and in industrial diagnostics, the advanced techniques of time-variant data, the digital transmission techniques of data in the field of control and industrial automation, the use of image processing to the purpose of mechanical measurements. The students will have the possibility to choose a specific topic among those characterised by the symbol (*), depending on their interests.
Description of the topics
Experimental techniques for identification of mechanical systems: Frequency response function of systems: models, data acquisition and analysis, estimation, data representation methods, examples of applications. Basic concepts of modal analysis and parameter identification techniques (SDOF and MDOF systems). Principles of diagnostics and industrial monitoring.
Fieldbus: Basics of digital communication, data communication in the automation of processes with main focus on sensors and actuators, Physical layer/Data link layer, international standards in communication, network types, bus systems (Profibus-Canbus-Interbus-ASI, etc. and their comparison).
Time-frequency analysis: Algorithms and applications
Digital image analysis: Digital images, basic concepts, storage methods, acquisition chain, analogical cameras (standard and progressive) and digital cameras (CCD and CMOS), analogical and digital frame grabber (IEEE1394, Camera link and USB), basics of optical systems and illuminating engineering, conditioning of images on a single pixel and on an area, convolution and transforms, system calibration and image correction, use of images for measuring position and bi-dimensional displacements (edge detection, blob detection, pattern matching), use of images for measuring tri-dimensional displacements (stereoscopy, laser triangulation, use of structured light).
Methods for identification of noise sources (moving or not) (*): beamforming, arrays of microphones, acoustic holography.
Non-destructive techniques (*): Basics and advanced techniques (e.g. thermography, fiber optics strain gauges, structural health monitoring).
Measurements in the automotive field (*): Measurement of comfort in vehicles, measurements for safety systems and vehicles controllers, feed-back systems in automatic controllers, self-diagnostic systems