Well-managed programmes of condition monitoring (CM) are essential to the strategic planning of predictive maintenance. Opportunities are widening for the application of advanced CM and diagnostic techniques to new industries and operations which previously were difficult to justify. The effective operation of machinery and equipment in any process is paramount, and more emphasis is being put on the financial, environmental, and health benefits of condition monitoring in ensuring the reliable performance of operations. This volume presents papers presented at the 5th International Conference on Profitable Condition Monitoring, Fluids and Machinery Performance Monitoring. The areas covered include condition monitoring - industrial case studies, vibration and noise monitoring of machinery, condition monitoring of fluids systems, and neural networks in condition monitoring.
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