title: Data Acquisition Protocol for Determining Embedded Sensitivity Functions.
abstract: The effectiveness of many structural health monitoring techniques depends on the placement of sensors and the location of input forces. Algorithms for determining optimal sensor and forcing locations typically require data, either simulated or measured, from the damaged structure. Embedded sensitivity functions provide an approach for determining the best available sensor location to detect damage with only data from the healthy structure. In this video and manuscript, the data acquisition procedure and best practices for determining the embedded sensitivity functions of a structure is presented. The frequency response functions used in the calculation of the embedded sensitivity functions are acquired using modal impact testing. Data is acquired and representative results are shown for a residential scale wind turbine blade. Strategies for evaluating the quality of the data being acquired are provided during the demonstration of the data acquisition process.
authors.affiliation: Laboratory for Systems Integrity and Reliability (LASIR), Vanderbilt University; janette.j.meyer@vanderbilt.edu.
authors.forename: Janette J
authors.initials: JJ
authors.lastname: Meyer
authors.affiliation: Laboratory for Systems Integrity and Reliability (LASIR), Vanderbilt University.
authors.forename: Douglas E
authors.initials: DE
authors.lastname: Adams
authors.affiliation: Mechanical Engineering, Purdue University.
authors.forename: Janene
authors.initials: J
authors.lastname: Silvers
mesh_terms: D000465:Algorithms; D003625:Data Collection / Q000379:methods*; D004736:Energy-Generating Resources; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D014919:Wind