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Data Acquisition Protocol for Determining Embedded Sensitivity Functions
Published on: April 20, 2016
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Data Acquisition Protocol for Determining Embedded Sensitivity Functions
Janette J Meyer1, Douglas E Adams2, Janene Silvers3
1Laboratory for Systems Integrity and Reliability (LASIR), Vanderbilt University; janette.j.meyer@vanderbilt.edu.
Journal of Visualized Experiments : Jove
|May 12, 2016
Summary
This study presents a method to find optimal sensor locations for structural health monitoring using embedded sensitivity functions and data from healthy structures. This approach aids in damage detection without needing data from damaged components.
Area of Science:
- Engineering
- Mechanical Engineering
- Materials Science
Background:
- Structural health monitoring (SHM) effectiveness relies heavily on sensor and force input placement.
- Current algorithms for optimal placement often require data from damaged structures, which is difficult to obtain.
- Embedded sensitivity functions offer a novel approach using only healthy structure data.
Purpose of the Study:
- To present a data acquisition procedure for determining embedded sensitivity functions.
- To outline best practices for calculating these functions.
- To demonstrate the method on a residential-scale wind turbine blade.
Main Methods:
- Utilizing modal impact testing to acquire frequency response functions.
- Calculating embedded sensitivity functions based on healthy structure data.
- Acquiring and analyzing data from a wind turbine blade.
Main Results:
- Demonstration of data acquisition for embedded sensitivity functions.
- Presentation of representative results from a wind turbine blade.
- Inclusion of strategies for evaluating acquired data quality.
Conclusions:
- Embedded sensitivity functions enable optimal sensor placement for damage detection using only healthy structure data.
- The presented methodology provides a practical approach for SHM.
- Effective data acquisition and quality assessment are crucial for reliable SHM.
