DIAGNOSTICS AND DYNAMICS OF MECHANICAL SYSTEMS
LEARNING OUTCOMES OF THE COURSE UNIT
Knowledge and ability to understand: Through the frontal lessons held during the course, the student will acquire the methods and knowledge necessary to understand and understand the techniques of signal analysis, vibration of mechanical systems and their application fields.
Ability to apply knowledge and understanding:
Through practical classroom and computer lab exercises, students learn how to apply knowledge acquired in a real context of design, as well as in multidisciplinary or non-familiar areas.
The possibility of carrying out an optional yearly work allows the student to extend and apply, with a small, practical activity, the theoretical knowledge acquired in designing and implementing a service facility from the point of view of the analysis And monitoring
The student should be able to understand and evaluate critically the best signal analysis techniques for diagnostic purposes.
Through the frontal lessons, the comparison with the teacher and the project year of the year, the student acquires the specific lexical of the world of measurements and diagnostics. It is expected that at the end of the course, the student will be able to transmit, in oral and written form, the main contents of the course, such as ideas, engineering issues and related solutions. The student must communicate his / her knowledge through appropriate means, so numerical problems are solved using common tools in the industry such as tables, plant diagrams, flow charts, and numerical spreadsheets.
The student who has attended the course will be able to deepen his / her knowledge of diagnostics and vibration through the autonomous consultation of specialized texts, scientific or dissertative journals, even outside lecture topics, in order to effectively address Entering into the labor market or undertaking further training paths.
There is no mandatory propedeuticity. Metrology and measurement and monitoring devices are recommended.
COURSE CONTENTS SUMMARY
The course aims to provide students with the basic elements of signal analysis in time domains and frequencies for diagnostic purposes together with a knowledge of vibration of mechanical systems and identification of dynamic parameters.
The PDF course lessons, and all the material used during lessons and exercises (transparencies, system diagrams, Excel sheets, movies) are made available to students via Elly portal.
In addition to the shared material, the student can personally study some of the topics discussed during the course by referring to the following texts:
- J. Bendat and A.G. Piersol: Engineering applications of correlation and spectral analysis, John Wiley and Sons
- J. Bendat and A.G. Piersol: Random Data, John Wiley and Sons
- G. D'Antona, Alessandro Ferrero Digital signal processing for Measurement systems, Springer
- A. Brandt, Noise and Vibration Analysis, signal analysis and experimental procedures, Wiley
ASSESSMENT METHODS AND CRITERIA
Verification of learning involves an oral test based on open-ended questions and not about 1 hour long. The test usually consists of 2/3 questions that may relate to the theoretical contents, demonstrations, exercises dealt with during the course; The weight of each question is evaluated at each test. The test is exceeded if it reaches a score of at least 18 points. Praise is given in the case of achieving the highest score on each item to which the disciplinary vocabulary is added.
Students who carry out the work of the year or present written reports of the exercises proposed will bring the same to the examination and the discussion will mainly concern the topics of the submitted works.
The course has a weight of 6 CFU, which corresponds to 42 hours of lesson. The didactic activities will be conducted by privileging frontal classroom lessons alternating with computer lab exercises. During the frontal lessons the course topics from the theoretical-design point of view are dealt with in order to deepen the understanding of the themes and to present any preconoscenze on the themes in question by the formandi.
During classroom exercises, during which you can use personal computing tools such as computers, students will be required to apply theory to an exercise, a real studio case, or a project developed according to the methodological criteria outlined in lessons and Bibliographic and didactic material.
The possibility of carrying out an interdisciplinary and voluntary year work allows the student to extend and apply on a small scale the theoretical knowledge acquired about the design and implementation of a service facility.
The slides and notes used to support the lessons will be uploaded at the beginning of the course on the Elly platform.
Notebooks, transparencies, spreadsheets, tables, and all shared material are considered an integral part of the didactic material. It reminds non-attending students to check the available teaching material and directions provided by the teacher through the Elly platform, the only communication tool used for direct teacher / student contact.
On this platform, day by day, the topics discussed in the lesson are set out, which will then be the content index for the preparation of the final exam.
Signalss in the domain of time.
Signal classification and their characteristics: logical and analog signals, stationary and non-stationary, random and deterministic.
Time domain analysis: statistical parameters and correlation.
Basic statistical parameters for describing signals over time.
Advanced Signal Acquisition Techniques.
Recalling and deepening of concepts addressed during Mechanical and Thermal Measures; Acquisition strategies and advanced sampling techniques.
The convolution integral and convolution theorem.
Dirac's delta function, impulse response; Integral convolution, convolution theorem, frequency response.
Signal analysis in the domain of frequencies.
Calling on Fourier algorithms, both direct and inverse; Aliasing, frequency resolution, leakage and window shading as convolution integral applications.
Characterization of a system in the domain of frequencies: spectra, autosprettri, cross-spectra, coherence; Estimation of the frequency response function.
Linear Vibrating Systems