Technical Diagnostics (TRIBOS+)

Year & Semester

1.Year - summer semester

Course Points


Contact Information

doc. dr. Marko Polajnar

Course Overview

Technical diagnostics course is held within the scope of joint European Masters programme TRIBOS and is used for condition-based maintenance. It consists of four fields: data acquisition and signal pre-processing, fault diagnosis, failure prediction over the operational time and activities. Data acquisition can be continuously or periodically, depending on sensors and techniques used. There are many different methods for data acquisition and analysis, therefore the selection of appropriate technique should be based on the technical system properties. Signal acquisition and signal pre-processing is followed by feature extraction and feature vector formation that is further processed with the artificial intelligence methods used in diagnostics. The result is fault detection and localization in the tribological contact. Identification process is follow by failure indicator trends, which are processed in time domain with the prognostic methods. Based on prediction the estimation of fault evolution and time of fault elimination can be predicted. Necessary service activities can be performed by a maintenance expert or automatic system equipped with the database.


[1] ​E. C. Fitch: Proactive Maintenance for Mechanical Systems, Elsevier Advanced Technology

[2] R. K. Mobley: Maintenance Fundamentals, Elsevier Butterworth Heinemann

[3] B. K. N. Rao: Handbook of Condition Monitoring, Elsevier Advanced Technology

[4] C. Scheffer, Paresh Girdhar: Machinery Vibration Analysis-Predictive Maintenance