450-4014/02 – Diagnostic and Testing Systems (DTS)
| Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 4 |
| Subject guarantor | Ing. Vladimír Kašík, Ph.D. | Subject version guarantor | Ing. Vladimír Kašík, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Optional |
| Year | | Semester | summer |
| | Study language | English |
| Year of introduction | 2015/2016 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The goal of subject is introduce students on methods and tools of modern computer aided automatic diagnostic systems.
Students will be acquainted with fundamental principles of non-destructive diagnostics namely complex electronics circuits including methods of artificial intelligence.
Teaching methods
Lectures
Individual consultations
Experimental work in labs
Project work
Summary
There are explaining base notions and characteristics of technical diagnostics an reliability theory of systems. The course is focused on the area of fault detection, failure analysis using diagnostic signals analysis, automatic tests for complex electronic components and circuits, methods of knowledge fault diagnosis.
Compulsory literature:
Recommended literature:
Nowicki, R. - Słowiński, R. – Stefanowski, J: Analysis of Diagnostic Symptoms in Vibroacoustic Diagnostics by Means of the Rough Sets Theory. Springer Verlag, 1992. ISBN: 978-90-481-4194-4
Tzafestas, S.: Expert systems in engineering applications. Springer Verlag, 1993. ISBN: 978-3-642-84050-0.
Additional study materials
Way of continuous check of knowledge in the course of semester
Verification of study:
1 test + 2 individual works
Conditions for credit:
The student is classifying on base 1 test 7-15 points and 2 individual works 10pts each (wherein the sum must be at least 10 points) or 1 semestral work per 20 points. Award of 14 th. week. Condition for receiving is min. 17 points, maximum of receiving points is 35. Examination - Writing part - Closing test - 27-55 points. Oral part 5-10 point. Total classification 51-100 points according study rules.
E-learning
Other requirements
There are not defined other requirements for student
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
Technical diagnosis, fundamental terms.Diagnostic models, classification, mathematical diagnostic models
Methods of classification, classificators
Electronic circuits automatic diagnostic systems. Fault models,automatic tests In Circuit, Boundary Scan, ASA
Signature analyzers, logic analyzers.
GPIB and VXI(MXI, PXI) buses in diagnostic systems.
Vibro-diagnostic signals analysis, sensors, signal analyse in time and frequency domain, fundamentals og frequency analysis theory
Aucoustic emission signal analysis. Continuous and impulse emission, cavitation, fault isolation.
Infrared diagnostic systems, thermo-TV systems
Diagnostic expert systems. Introduction to knowledge engineering.
Fuzzy logic diagnostic systems, fundamentals of fuzzy sets theory
Neural diagnostic systems, structure and types of artificial neural networks
Exercises:
Practises on mathematical diagnostic models
Practises on mathematical diagnostic models
Laboratories:
The use of Boundary-Scan system in digital circuits.
Diagnostic analyzer Teradyne Z1800.
Diagnostic analyzer Agilent TS5400 - Venturi. Introduction to system's architecture and basic functions. Software TestExec SL.
Diagnostic analyzer Agilent TS5400 - Venturi. PCB test design and execution for passive electronic devices testing.
Diagnostic analyzer Agilent TS5400 - Venturi. PCB test design and execution for active electronic devices testing.
Diagnostic analyzer Agilent TS5400 - Venturi. Measurement errors verification in dependence on several measurement methods.
Computer labs:
Expert systems in digital circuits diagnosis
Introduction to FEL-Expert diagnostic system
Individual work - diagnostic model design and verification using FEL-Expert
Introduction to neural network - based diagnostic systems.
Individual work - neural network structure design and parametrs setting
The use of neural networks in technical diagnostics, excersises. Test.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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