Course detail

Technical Diagnostics I

FSI-XT1-KAcad. year: 2019/2020

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.

Learning outcomes of the course unit

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.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

KREIDL,M; ŠMÍD,R. Technická diagnostika. Senzory-metody-analýza signálu. 1. vydání. Praha: BEN-technická literatura, 2006,408 s. ISBN 80-7300-158-6.
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.
HAMMER,Miloš. Metody umělé inteligence v diagnostice elektrických strojů. 1. vydání. Praha: BEN – technická literatura, 2009. 400 s. ISBN 978-80-7300-231-2.
THOMPSON, M.; VAN DEN BRUEL. Diagnostic Tests Toolkit (EBMT-EBM Toolkit Series). Wiley-Blackwell. 2011. 112 s. ISBN 978-0470657584.
BLACK, H., DOCKRELL, W. Diagnostic Assessment in Technical Education: A Teacher's Handbook. 1980. 75 s. ISBN 978-0901116253.

Planned learning activities and teaching methods

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.

Language of instruction

Czech

Work placements

Not applicable.

Aims

The objective of the subject is to acquire the theoretical and practical knowledge of the diagnostics of technical systems.

Specification of controlled education, way of implementation and compensation for absences

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.

Classification of course in study plans

  • Programme M2I-K Master's

    branch M-KSB , 1. year of study, summer semester, 5 credits, compulsory

Type of course unit

 

Guided consultation

9 hours, optionally

Teacher / Lecturer

Syllabus

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

9 hours, compulsory

Teacher / Lecturer

Syllabus

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

34 hours, optionally

Teacher / Lecturer

Syllabus

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

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