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The programme for this conference has highlighted the
use of condition monitoring systems with predictive capabilities, Providing
early detection of machinery problems based on the collection of machinery
data. Authors have shown that lower machine maintenance costs and higher
availability result when these systems are properly installed within a
suitable maintenance management system. This conference provides an excellent
opportunity for the interchange of ideas and technologies aiming the equipment,
maintenance, diagnostics and failure prevention communities.
Main Contents:
Section 1. Condition monitoring philosophies (9 papers);
Section 2. Lubricant and wear debris analysis (31papers);
Section 3. Vibration and acoustic analysis (26 papers);
Section 4. Neural network and expert system (17 papers);
Section 5. Miscellaneous monitoring techniques (27 papers).
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