The student can:
- Describe the complete Structural Health or Condition Monitoring cycle and apply this to a variety of cases
- Identify damage types and scenario’s that form the base of a structural health assessment of a system
- Identify wear and deterioration factors that form the base of a condition assessment of a system
- Evaluate the need for and subsequently select a suitable sensor system for a Structural Health or Condition Monitoring application
- Evaluate and subsequently select a suitable signal processing technique to analyse experimental data for a Structural Health or Condition Monitoring application
- Assess the factors required for an estimation of the expected remaining life time based on the Structural Health or Condition Monitoring analysis performed
The student can apply the above items to the case of his PDEng design project, or to a case approved of by the lecturer, in order to receive the additional EC of the PDEng variant. The assignment must also be done individually
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In this course methods and techniques to assess and monitor the condition (in terms of damage or degradation) of systems are treated. This enables to assure system safety and determine the moment for preventive maintenance. This course starts with introducing the generic principles of structural health and condition monitoring: diagnostic versus prognostics, feature recognition, classification, localization and quantification of damage or deterioration. Then a number of more specific topics in the field will be treated, like understanding of the mechanisms, material behaviour and dynamic behaviour of the system, signal processing and sensor technologies and the relation with predictive maintenance policies. A selection of the available Structural Health and Condition Monitoring techniques will be discussed and applied in more detail: vibration analysis (e.g. bearings, gear boxes, rotating machinery), dynamic methods (modal analysis, wave propagation based, ultrasonics).The theory will be discussed for all these methods, and a paper is to be written based on real data from (field) measurements.
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