Technical Diagnostics

Course Points


Contact Information

prof. dr. Mitjan Kalin

Course Overview

  1. Maintenance technology.
  2. Theory of damages: reliability, maintainability, availability.
  3. Damage and damage analyses: damage indicators,
  4. Techniques for data acquisition: vibration, acoustics, oil and particles analysis, thermography.
  5. Non-destructive techniques: penetration acoustic emission, magnetic flux, ultrasound, endoscopies.
  6. Data acquisition, data processing, diagnostics and prognostics methods.
  7. Diagnostic system design.


[1] C. Scheffer, P. Girdhar: Machinery Vibration Analaysis- predictive maintenance, Elsevier, 2004
[2] D. E. Bently, C. T. Hatch: Fundamentals of Rotating machinery Diagnostics, Bently pressurized bearing press, 2002
[3] V. V.  Bolotin, Prediction of service life for machines and structures, ASME, 1989
[4] J. Grosch: Schadenskunde im Maschinenbau: charakteristische Schaden-sursachen-Analyse und Aussagen von Schadensfällen, Expert, 1995
[5] B.K.N. Rao: Handbook of condition monitoring, Elsevier, 199