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Modeling and Structural Health Monitoring of 5 MW Wind Turbine Based on Moving Principal Component Analysis

Majidi Pishkenari, Mohsen | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49181 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Abedian, Ali
  7. Abstract:
  8. Nowadays, the structural health monitoring is considered as an essential element in improving the performance of the structures. The role and importance of the issues in this area have been reached to the point that different ideas and policies are developed for the safety margin over the useful life of the structures. To analyze more accurately, a real model of a turbine blade is required. This issue would be taken into more consideration when the scale of the turbine gets larger. Changing of the design philosophies over time results in effective changes in the design process and maintenance procedures. Any single of these inspections has different importance according to users' demands. In addition, using of a method that can answer quickly during a large number of information is a great of importance. One of the most common methods is analyzing of modal frequencies, which is inapplicable sometimes due to the high volume of information.In this study, regarding the importance of studying of the behavior of wind turbine blades under various operating conditions, the health of these structures have been taken into account. It has to bear in mind that, previously, the blades with lower power generation has been studied by using some methods, including acoustic waves propagation. However, these methods are not sufficient and applicable for all aspects of structural health monitoring in larger scales. As a result, in this study, by using loading philosophies in turbine working conditions, the method of monitoring based on the monitor of strains have been applied, which has been utilized by finite element strains instead of optical fibers; finally results in reducing of orders. At the end, by creating a defect deliberately, the behavior of changes has been observed successfully. In addition, the defect and its place are identified by an adjacent sensor, resulting i the precipitation of structural behavior before the critical situations occurred
  9. Keywords:
  10. Structural Health Monitoring ; Finite Element Model ; Turbine Blades ; Wind Turbine ; Performance Improvement ; Moving Principal Components Analysis (MPCA)

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