Machine condition monitoring and fault diagnosis
GT
R Beebe
6 points * 78 hours * Full-year subject * Gippsland/Distance * Prerequisites: GEG7024
Application of the preventive maintenance approach of predictive maintenance/condition monitoring for machines and plant. Techniques and how to use them: visual inspection/non-destructive testing; vibration monitoring and analysis; performance monitoring and analysis; analysis of wear debris in lubricants and contaminants in process fluids; electrical measurements. Degradation of materials in hostile environments and monitoring of corrosion and creep. Fault diagnosis of machine problems; fault and cause tables with probability rankings; design and use of algorithms.
Assessment
Examination (3 hours): 40% * Assignments: 60%
Prescribed texts
Beebe R S Machine condition monitoring Engineering Information Transfer, 1988
Recommended texts
Bloch H P and others Practical machinery management for process plants (3 vols) Gulf, 1982
Collacott R A Mechanical fault diagnosis and condition monitoring Chapman and Hall, 1977
Mobley K Introduction to predictive maintenance Technology for Energy, 1991
Tavner P J and Penman J Condition monitoring of electrical machinery Wiley
Trethewey K R and Chamberlain J Corrosion for students of science and engineering Longman, 1988
Wowk V Machinery vibration: Measurement and analysis McGraw-Hill, 1991