Sensor Validation for Smart Structures
MI Friswell (University of Wales Swansea) & DJ Inman (Virginia Polytechnic Institute and State University, USA)
Journal of Intelligent Material Systems and Structures, Vol. 10, No. 12, December 1999, pp. 973-982
Structures with a large number of embedded sensors are becoming more common, and this refined spatial information can be used to advantage in damage location and model validation. These sensors could be accelerometers, strain gauges, piezoceramic patches, PVDF film sensors, or optical fibre sensors. This approach requires that the sensors are functioning correctly, which on a smart structure operating in the field should be continuous and automatically monitored. This paper considers possible approaches to sensor validation, based on the assumption that a model of the structure is available. The aim is to make use of the natural data redundancy since there will more sensors than modes in the data. The validation approaches considered are based on hypothesis testing based on a number of techniques, such as modal filtering. The methods are demonstrated on simple examples that exercise their strengths and weaknesses.
This material has been published in the Journal of Intelligent Material Systems and Structures, Vol. 10, No. 12, December 1999, pp. 973-982. Unfortunately the copyright agreement with Sage Publications does not allow for the PDF file of the paper to be available on this website.
Link to the Journal website