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A Short Course on Pattern Recognition in Structural Health Monitoring (L, 3 cr)

May 6-7 2010


Inverse methods for damage identification, probability theory, pattern recognition and machine learning, neural networks, statistical learning theory and support vector machines, applications of SHM.


Thursday09.15-10.452 lectures
 10.45-11.15Coffee break
 11.15-12.452 lectures
 12.45-13.45Lunch break
 13.45-15.152 lectures
Friday9.15-10.001 lecture
 10.00-10.30Coffee break
 10.30-12.002 lectures
 12.00-13.00Lunch break
 13.00Bus to Humaljärvi research station (bus leaves from the TUAS building, Otaniementie 17, map)
 19.00Course dinner
 21.00Bus to Otaniemi


The course will be lectured by professor Keith Worden from the University of Sheffield, U.K. The lectures will be given at the lecture hall E in the main building of the Aalto University School of Science and Technology.


As a background information read at least two articles from the Structural Health Monitoring issue of the Philosophical Transactions of the Royal Society A.

Write an essay-like report with a comprehensive discussion from one of the following titles:

  1. Requirements, challenges and opportunities of wireless sensor networks in structural health monitoring
  2. Pattern recognition and data analysis in structural health monitoring
  3. Combining model and data based methods in structural health monitoring
  4. Your own research topic from the perspective of structural health monitoring

The report should be mostly based on the theme issue of Philosophical Transactions of the Royal Society, but you can use other references, if needed.

Do not just ask questions, but propose your own solutions and ideas as well. If you give examples (figures, diagrams, etc.), work them through from the perspective of your report title.

Use the document template given here doc. Length of the report should be 4-6 pages including the bibliography information.

Send the report as pdf file with your student number to ville.lamsa (at) by May 31st at 4pm.


The official language of the course is English.


The course is open for anyone interested in the topic. The number of participants is limited to 35.


Lecture notes

All the course material can be found from the course website


Attending lectures and successful completion of written report (4 pages) will give 3 credit points.


Registration by April 30th at 4pm to: ville.lamsa (at) Indicate if you have restrictions with food and give your affiliation (University / company and department). Indicate clearly, if you do NOT need the bus transportation to Humaljärvi.