| 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.
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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.
Why this course: In order to assure system safety, determination of the moment for preventive maintenance is crucial. In this course, methods and techniques to assess and monitor the condition (in terms of damage or degradation) of systems are treated.
The course includes and concludes with skills and knowledge on:
- Description of the complete Structural Health and Condition Monitoring cycle and apply this to a variety of cases.
- Identification of damage types and scenarios that form the base of a structural health assessment of a system.
- Identification of wear and deterioration factors that form the base of a condition assessment of a system.
- Evaluation of the need for and subsequently selection of a suitable sensor system for a Structural Health or Condition Monitoring application.
- Evaluation and subsequent selection of a suitable signal processing technique to analyze experimental data for a Structural Health or Condition Monitoring application.
- Assessing the factors required for an estimation of the expected remaining lifetime based on the Structural Health and Condition Monitoring analysis performed.
Course highlights:
- Working with either (field) measurement data provided or with your own data set brings theory immediately into practice.
- The course can be tailored to your needs by studying additional course material, partly available as short micro-lectures.
- Each year updates are made on the course to connect to recent developments in (our) research.
For whom: Professionals with knowledge of dynamics, in particular vibrations. If needed, additional material in the form of micro-lectures is provided to cover for possibly missing knowledge.
Programming skills are handy in relation to analysis of data. A series of Matlab scripts is made available for the basic steps in the analysis, starting from reading the data from the source files (often tdms format).
From whom: dr.ir. R. Loendersloot, prof.dr.ir. T. Tinga
Practical information: This is a regular master course, in which students as well as professionals can participate. The core of the course are the optional lectures. The theory of these lectures is applied in obligatory assignments and is further deepened in self-study hours. For the assignments in modelling, the participants can choose their own topic and will write a paper on the outcome.
A series of articles will be provided as background information.
At the end, an oral exam concludes this course.
Location: University of Twente, Enschede, NL
Duration: The lectures are scheduled annually from February till April. It requires a study load of 140 hours. There is no deadline for the elaboration of the paper on the modelling assignment.
Costs: Participation in the MSc course: € 2067,15
More information:
Content of the course: dr.ir. R. Loendersloot, r.loendersloot@utwente.nl
Registration: Registration form | Faculty of Engineering Technology (ET)