After successful completion of the course, students are able to:

• define objectives of condition monitoring of machines and systems
• detect faults in the running behaviour of machines
• create reliable error diagnoses
• identify and eliminate the root causes of failures and malfunctions
• apply analytical procedures for error assessment
• design holistic monitoring strategies using AI approaches

Maintenance management methodology and techniques; physical and technical failure characteristics; vibration fundamentals for root cause analysis; fault descriptors on rotors, bearings and gears; corrective measures and proactive improvements; holistic maintenance systems using AI methods; prescriptive approaches..

Block course in PowerPoint presentation. The slide pictures with annotated note pages are available as manuscript.......

Blocklehrveranstaltung

Multiple choice test with use of documents. Oral exam  or via homework (web)

Lecture notes for this course are available. Buchhandel oder direkt beim Vortragenden (s. Lit.) Dr. Kolerus: Zustandsüberwachung von Maschinen.

Knowledge in mechanics, mathematics (Fourier-transform) , measurment techniques