Technical Diagnostics I (FSI-XT1-K)

Academic year 2019/2020
Supervisor: Ing. Daniel Zuth, Ph.D.  
Supervising institute: ÚVSSR all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
The objective of the subject is to acquire the theoretical and practical knowledge of the diagnostics of technical systems.
Learning outcomes and competences:
A student acquires comprehensive and complex knowledge of the diagnostics which can apply in industrial mechanical/electrical engineering practice to solve different problems related to the aforementioned topics.
Prerequisites:
Knowledge of mathematics and physics on the level of the bachelor studies completed so far is assumed.
Course contents:
The course is focused on modern knowledge of technical diagnostics of machines and equipment. Emphasis is placed on the theoretical knowledge of technical diagnostics, such as the integration of technical diagnostics into product quality, the clarification and description of diagnostic systems, the analysis of diagnostic models, diagnostic signals and the distribution of technical diagnostics according to various aspects. Subsequently, attention is focused on selected diagnostic methods, such as thermodiagnostics, water level diagnostics and flow diagnostics. There is always an emphasis on using individual diagnostics to assess the condition of a technical object. Selected and discussed methods are important for understanding multi-parameter diagnostics. The remaining most important methods of multiparametric technical diagnostics are explained in the following subject.
The course is supplemented with an exercise where the most important topics are properly practiced. There is also a discussion on the results obtained and conclusions in the exercises.
Technical Diagnostics I is followed by Technical Diagnostics II, which is a continuation of description and analysis of other diagnostic methods suitable for assessment of the state of technical objects. By studying both subjects, students will acquire comprehensive knowledge of multiparametric diagnostics of machines and equipment. The findings are also based on the content of the Industry 4.0 initiative and Maintenance 4.0.
Teaching methods and criteria:
The subject consists of lectures and laboratory. According to the possibility of teaching can be organized lectures for students by practitioners and excursions to companies focused on activities related to the course content.
Assesment methods and criteria linked to learning outcomes:
The subject consists of lectures and tutorials. Exercises are required.
The tutorial is completed with the credit (granted in the 13th teaching weekend). To gain the credit, 100% attendance, student’s activity in tutorials and the protocols processed from all laboratory exercises and approved by the teacher are required. The examination consists from a written test, and the student‘s maximum scoring rate can be up to 100. The evaluation of test results is given by the classification scale according to ECTS.
Controlled participation in lessons:
The student attendance is checked in tutorials (presence and activity). The 100% participation in tutorials is required, and in case of absence, the student will be obliged to compensate, the alternative attendance will be specified by the lecturer.
Type of course unit:
    Guided consultation in combined form of studies  1 × 9 hrs. optionally                  
    Laboratory exercise  1 × 9 hrs. compulsory                  
    Controlled Self-study  1 × 34 hrs. optionally                  
Course curriculum:
    Guided consultation in combined form of studies 1. Embodiment of technical diagnostics into product quality
2. Most important terms in technical diagnostics
3. Diagnostic system and its description
4. Diagnostic model, description, and analysis
5. Diagnostic signal and its properties
6. Sensors, sensor parameters. Smart sensors.
7. Technical diagnostics, classification, methods and tools
8. Data acquisition from machine and equipment diagnostics, assessment methods. Statistical data analysis, data mining. Recognition of technical diagnostics, statistical methods for classification, clustering, neural networks, diagnostic expert systems, fuzzy systems.
9. Machinery wearing indication, diagnostic monitoring systems, vizualization of diagnostic systems. Technical diagnostics within Industry 4.0 initiative.
10. Thermodiagnostics – introduction
11. Thermodiagnostics – assessment of object temperature conditions
12. Level height diagnostics – mechanical level gauges , hydrostatic, electrical and physical level gauges, object conditions according to level height
13. Flow diagnostics – introduction, volumetric flowmeters, velocity flowmeters , mass flowmeters, object conditions according to flow
    Laboratory exercise 1. Introduction, organization, safety at work, principles of technical diagnostics, diagnostic instrumentation
2. Sensors, sensor parameters. Smart sensors.
3. Diagnostic signal and its properties
4. Diagnostics of deformation
5. Pressure diagnostics
6. Thermodiagnostics – contact temperature measurements
7. Thermodiagnostics –contact-free temperature measurements
8. Level height diagnostics – level gauges
9. Flow diagnostics – flowmeters
10. Remote machine diagnostics, on-line machine diagnostics

    Controlled Self-study 1. Embodiment of technical diagnostics into product quality
2. Most important terms in technical diagnostics
3. Diagnostic system and its description
4. Diagnostic model, description, and analysis
5. Diagnostic signal and its properties
6. Sensors, sensor parameters. Smart sensors.
7. Technical diagnostics, classification, methods and tools
8. Data acquisition from machine and equipment diagnostics, assessment methods. Statistical data analysis, data mining. Recognition of technical diagnostics, statistical methods for classification, clustering, neural networks, diagnostic expert systems, fuzzy systems.
9. Machinery wearing indication, diagnostic monitoring systems, vizualization of diagnostic systems. Technical diagnostics within Industry 4.0 initiative.
10. Thermodiagnostics – introduction
11. Thermodiagnostics – assessment of object temperature conditions
12. Level height diagnostics – mechanical level gauges , hydrostatic, electrical and physical level gauges, object conditions according to level height
13. Flow diagnostics – introduction, volumetric flowmeters, velocity flowmeters , mass flowmeters, object conditions according to flow
Literature - fundamental:
1. KREIDL,M; ŠMÍD,R. Technická diagnostika. Senzory-metody-analýza signálu. 1. vydání. Praha: BEN-technická literatura, 2006,408 s. ISBN 80-7300-158-6.
2. HELEBRANT,F; ZIEGLER,J. Technická diagnostika a spolehlivost, II. Vibrodiagnostika. 1. vydání-dotisk. VŠB – Technická univerzita Ostrava, 2005. 178 s. ISBN 80-248-0650-9.
Literature - recommended:
3. HAMMER,Miloš. Metody umělé inteligence v diagnostice elektrických strojů. 1. vydání. Praha: BEN – technická literatura, 2009. 400 s. ISBN 978-80-7300-231-2.
4. THOMPSON, M.; VAN DEN BRUEL. Diagnostic Tests Toolkit (EBMT-EBM Toolkit Series). Wiley-Blackwell. 2011. 112 s. ISBN 978-0470657584.
5. BLACK, H., DOCKRELL, W. Diagnostic Assessment in Technical Education: A Teacher's Handbook. 1980. 75 s. ISBN 978-0901116253.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
M2I-K combined study M-KSB Quality, Reliability and Safety -- Cr,Ex 5 Compulsory 2 1 S