Selected Chapters of Diagnostics

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Measurement

Synopsis:

This course introduces advanced concepts of fault detection, isolation and diagnostics, signal analysis methods for machine condition monitoring, and principles and instrumentation of non-destructive testing, the corresponding advanced signal processing, and self-acting evaluation in order to improve reliability, availability, maintenance, and life-time.

Requirements:

Syllabus of lectures:

1. Fault-detection and diagnosis methods

2. Fault detection with signal models

3. Fault detection with parity equations

4. Fault detection with observers, estimators, and PCA

5. Combination of fault-detection methods

6. Fault diagnosis with inference methods

7. Diagnosis knowledge representation

8. Condition monitoring - advanced signal analysis

9. Condition monitoring - instrumentation, M2M architectures

10. Condition monitoring - edge computing

11. Non-destructive testing - arrays

12. Non-destructive testing - multichannel processing and analysis

13. Wrap-up

14. Reserve

Syllabus of tutorials:

1. - 13. Individual project - experimental work

14. Presentation of results. Manuscript assessment.

Study Objective:

The course should give an extensive treatment of special non-destructive testing methods and diagnostic procedures including advanced signal processing methods, signal recognition and classification.

Study materials:

Obligatory:

[1] Yan, Jihong. Machinery Prognostics and Prognosis Oriented Maintenance Management, John Wiley & Sons, Incorporated, 2015. ISBN: 978-1-118-63872-9

[2] Rafael Gouriveau, Kamal Medjaher, Noureddine Zerhouni. From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics, Wiley-ISTE, Nov 2016. ISBN: 978-1-848-21937-3

Recommended:

[3] G. Vachtsevanos et al.: Intelligent Fault Diagnosis and Prognosis for Engineering Systems, John Wiley & Sons, Inc. 2006.

[4] R. Isermann: Fault-Diagnosis Systems, Springer Berlin Heidelberg 2006.

Note:

Further information:

http://www.fel.cvut.cz/cz/education/bk/predmety/11/52/p11528804.html

No time-table has been prepared for this course

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)