Course detail

Maintenance of Machinery and Equipment

FSI-9USZAcad. year: 2022/2023

The course is focused on the most sophisticated knowledge in the area of machine and equipment maintenance. Attention is devoted to the problems of failures and wearing of machinery. Additionally, technical diagnostics, sensors, diagnostic tools, systems and models as well as diagnostic signal analyses and processing are discussed. The emphasis is laid on individual diagnostic methods and clarifying their applications for technical condition assessment of the observed objects. In this relation, a collection of data from technical diagnostics, their evaluation and visualization of diagnostic systems are also solved. The emphasis is laid on the complex solution of preventive, autonomous, predictive and pro-active maintenance. Management and maintenance engineering, i.e., planning strategy, legislation, outsourcing, economics, maintenance productivity, spare parts, overhauls, maintenance quality management, audits, are also discussed. A special attention is devoted to some maintenance methods, for example, total productive maintenance (TPM) and its application in practical terms. The existing software for different maintenance areas including possible maintenance visualization in a particular company is also discussed. A relationship among maintenance, maintenance management and company management is analysed.
The course is also based on Maintenance 4.0 and Industry 4.0 initiatives.

Language of instruction

Czech

Mode of study

Not applicable.

Guarantor

doc. Ing. Róbert Jankových, CSc.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

Learning outcomes of the course unit

In the sense of the below mentioned annotation and curriculum, the student will gain a comprehensive knowledge of the area of machine and equipment maintenance including other machine services, which will be useful for his engagement into solving different issues in industrial machinery and electrotechnical practice related to this area.

Prerequisites

The knowledge of mathematics and physics at the level of graduated technical studies is assumed. Basic knowledge of quality management is also welcomed.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course includes lectures and tutorials in pre-arranged terms.

Assesment methods and criteria linked to learning outcomes

For the exam students will study the prescribed issues. They will also elaborate in writing a specific topic from the maintenance area whose defense will be part of the oral exam. Oral examination is held after the defense of a written topic from the area of maintenance in the form of a discussion on the problems according to the course's curriculum.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The objective of the course is to gain knowledge in the area of machine and equipment maintenance.

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

The course is checked according to the student´s participation in pre-arranged tutorials.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

BEN-DAYA, M., DUFFUAA, S.O., RAOUF, A., KNEZEVIC, J., AIT-KADI, D. Handbook of Maintenance Management and Engineering. 1. vydání. Springer-Verlag London, 2009. 741 s. ISBN 978-1-84882-471-3. (EN)
BLOOM, N . Reliability Centered Maintenance (RCM). 1 vydání USA. McGraw-Hill Companies, 2006. 314 s. ISBN 0-07-158918-X. (EN)
BORRIS, S. Total Productive Maintenance (TPM). 1 vydání USA. McGraw-Hill Companies, 2006. 379 s. ISBN 0-07-158926-0. (EN)
FRADEN, J. Handbook of Modern Sensors. 1. vydání. Springer New York Heiderlberg Dordrecht London, 2010. 653 s. ISBN 978-1-4419-6465-6. (EN)
Fred K. Geitner and Heinz Bloch. Machinery Component Maintenance and Repair. Volume 3. 4th Edition. Houston: Gulf Professional Publishing 2019. ISBN: 9780128187296. (EN)
GRENČÍK, Juraj a kol. Manažérstvo údržby- Synergia a teorie a praxe. 1. vyd. Košice: Slovenská spoločnosť údržby vo vydavateĺstve: BEKI design, s.r.o Košice, 2013. 630 s. ISBN 978-80-89522-03-3. (SK)
HELEBRANT, František a Jiří ZIEGLER. Technická diagnostika a spolehlivost, II. Vibrodiagnostika. 1. vyd. Ostrava: VŠB – Technická univerzita Ostrava, 2005. 178 s. ISBN 80-248-0650-9. (CS)
KREIDL, Marcel a Radislav ŠMÍD. Technická diagnostika. Senzory - metody - analýza signálu. 1. vyd. Praha: BEN - technická literatura, 2006. 408 s. ISBN 80-7300-158-6. (CS)
LEGÁT, Václav a kol. Management a inženýrství údržby. 2. doplněné vyd. Příbram: Kamil Mařík PBtisk, 2016. 622 s. ISBN 978-80-7431-163 -2. (CS)
MANZINI, R., REGATTIERI, A., PHAM, H., FERRARI, E. Maintenance for Industrial Systems.1. vydání. Springer-Verlag London, 2010. 479 s. ISBN 978-1-84882-574-1. (EN)
PAČAIOVÁ, Hana. Riadenie údržby II. Efektivnosť a bezpečnostˇ v údržbe. 1. vyd. Košice: TU v Košiciach, Strojnícka fakulta, 2011. 112 s. ISBN 987-80-553-0856-2. (SK)

Recommended reading

BEN-DAYA, M., DUFFUAA, S.O., RAOUF, A., KNEZEVIC, J., AIT-KADI, D. Handbook of Maintenance Management and Engineering. 1. vydání. Springer-Verlag London, 2009. 741 s. ISBN 978-1-84882-471-3. (EN)
BLOOM, N . Reliability Centered Maintenance (RCM). 1 vydání USA. McGraw-Hill Companies, 2006. 314 s. ISBN 0-07-158918-X. (EN)
BORRIS, S. Total Productive Maintenance (TPM). 1 vydání USA. McGraw-Hill Companies, 2006. 379 s. ISBN 0-07-158926-0. (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)
FRADEN, J. Handbook of Modern Sensors. 1. vydání. Springer New York Heiderlberg Dordrecht London, 2010. 653 s. ISBN 978-1-4419-6465-6. (EN)
GALAR, D., KUMAR, U., SANDBORN, P. Maintenance Costs and Life Cycle Cost Analysis. Boca Raton: CRC Press, 2017. 1. vydání. 516 s. ISBN 9781498769556. (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)

Classification of course in study plans

  • Programme D-KPI-K Doctoral 1 year of study, summer semester, recommended course
  • Programme D-KPI-P Doctoral 1 year of study, summer semester, recommended course

Type of course unit

 

Lecture

20 hod., optionally

Teacher / Lecturer

doc. Ing. Róbert Jankových, CSc.

Syllabus

1. Machine and equipment operation. Life phases. Maintenance. Failures. Causes, origin and development of failures. Failure mechanism and their external symptoms. Failure classification according to the nature of their origin. Types of machinery wearing.
2. Machine and equipment conditions. Technical diagnostics - diagnosis, prognosis, genesis. Diagnostic tools. Off-line (walking) and on-line diagnostics, monitoring, condition monitoring, diagnostic models, diagnostic systems, diagnostic signals - analyses and processing.
3. Sensors, sensor parameters, sensors of mechanical quantities . Sensors of mechanical vibration, sensors of mechanical tension (tensometers), pressure gauges, fluid flowmeters, level gauges, temperature sensors, electrical, magnetic and chemical sensors. Smart sensors.
4. Vibrodiagnostics, electrical diagnostics, thermal diagnostics, tribodiagnostics, noise diagnostics, acoustic emissions, flow and level diagnostics, pressure diagnostics. Non-destructive material testing. Multi-parametric diagnostics. Remote machine diagnostics.
5. Data acquisition from machine and equipment diagnostics, assessment methods. Control diagrams as the tools of statistical process control (SPC). Statistical data analysis, data mining. Recognition of technical diagnostics, statistical methods for classification, clustering, neural networks, diagnostic expert systems, fuzzy systems. Machinery wearing indication, diagnostic monitoring systems, vizualization of diagnostic systems. Technical diagnostics within Industry 4.0 initiative.
6. Preventive maintenance with pre-defined intervals, maintenance according to technical conditions - predictive, pro-active, and testing. Preventive maintenance optimization. System creation and management of preventive, predictive and pro-active maintenance.
7. Maintenance management and engineering – maintenance organization and management in a company (strategy, outsourcing, legislation, planning, schedule, material sources, spare parts, overhauls, and re-engineering), maintenance productivity assessment economics (finance, key indicators, benchmarking), maintenance quality management, (normalized management system, documentation and audit), environmental maintenance management.
8. Maintenance focused on failure free operation - RCM (Reliability Centred Maintenance). Other methods.
9. Total productive maintenance - TPM.
10. Software for maintenance: planning, maintenance management and agenda, management and maintenance of tangible asset and life control, stock holding. Maintenance visualization. Relationship of maintenance, maintenance management and company´s management. Maintenance 4.0 and Industry 4.