Course detail
Technical Diagnostics II
FSI-XT2Acad. year: 2023/2024
The subject is focused on the most sophisticated knowledge in technical diagnostics of machines and instrumentation. It builds on the facts mentioned earlier in those subjects who are focused on the diagnostics and this subject develops them. Attention is mainly devoted on the problems of vibrodiagnostics, noise diagnostics, radiography diagnostics, tribodiagnostics, electrical diagnostics and remote machine diagnostics. The meaning and the application of multi-parametric diagnostics are shown. By completing this course and subject Technical Diagnostics I, eventually the subject of Basics of Technical Diagnostics, students will acquire comprehensive knowledge of technical diagnostics of machines and equipment. The findings are also based on the content of the Industry 4.0 initiative and Maintenance 4.0.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
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.
Aims
A student acquires comprehensive and complex knowledge of the diagnostics of technical systems which can apply in industrial mechanical/electrical engineering practice to solve different problems related to the aforementioned topics.
Study aids
Prerequisites and corequisites
Basic literature
KREIDL,M; ŠMÍD,R. Technická diagnostika. Senzory-metody-analýza signálu. 1. vydání. Praha: BEN-technická literatura, 2006,408 s. ISBN 80-7300-158-6. (CS)
Recommended reading
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. (CS)
THOMPSON, M.; VAN DEN BRUEL. Diagnostic Tests Toolkit (EBMT-EBM Toolkit Series). Wiley-Blackwell. 2011. 112 s. ISBN 978-0470657584. (EN)
DUFFUAA, S. O., RAOUF, A. Planning and Control of Maintenance Systems. Modelling a Analysis. 2. vydání. Springer International Publishing AG, Switzerland, 2016. 348 s. ISBN 9783319371818. (EN)
MOHANTY A.R. Machinery Condition Monitoring: Principles and Practices. CRC Press, Boca Raton, Florida, USA, 2014. 282 s. ISBN 9781466593053. (EN)
MYSHKIN, N. K, MARKOVA, L.V. On-line Condition Monitoring in Industrial Lubrication and Tribology. 227 s. Springer, 2017. ISBN 9783319611341. (EN)
Elearning
Classification of course in study plans
- Programme N-KSB-P Master's 2 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Vibrodiagnostics - vibration measurement
3. Vibrodiagnostics - frequency analysis
4. Vibrodiagnostics - imbalance, misalignment, plain bearings
5. Vibrodiagnostics - rolling bearings, ODS method, modal analysis
6. Sound (noise) diagnostics - introduction, machine diagnostics: sound pressure and power level, acoustic filters, machine noise, machine noise sources, noise criteria, European directives, standards
7. NDT (non-destructive methods)
8. NDT (non-destructive methods)
9. Tribodiagnostics of lubricants and machine nodes
10. Tribodiagnostics of lubricants and machine nodes
11. Electrodiagnostics - introduction, methods
12. Electrodiagnostics - determining the state of machine nodes
13. Remote machine diagnostics, on-line machine diagnostics and Industry 4.0, multiparametric diagnostics
Laboratory exercise
Teacher / Lecturer
Syllabus
2. Characteristics of instrumentation used in practice. Basic parameters of instruments, basic operation of instruments
3. Vibrodiagnostics - data processing, determination of rotational systems
4. Vibrodiagnostics - data processing, determination of rotational systems
5. Vibrodiagnostics - data processing, determination of rotational systems
6. Vibrodiagnostics - balancing of rotating machines
7. Vibrodiagnostics - balancing of rotating machines
8. Sound (noise) diagnostics
9. Electrodiagnostics
10. Online diagnostics of machines
11. Online machine diagnostics
12. Completion and evaluation of technical reports (protocols)
13. Credit
Elearning