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An Artificial Neural Receptor System for Structural Health MonitoringNaval Undersea Warfare Center, Division Newport, 1176 Howell St., Newport, RI 02842-6016, USA, william.n.martin{at}navy.mil
United Technologies Corporation, USA
North Carolina A&T State University, USA
North Carolina A&T State University, USA
University of North Carolina at Greensboro, USA
University of Cincinnati, USA The artificial neural receptor system is a new approach that greatly simplifies data acquisition, and hence may enable practical Structural Health Monitoring for large structures. The benefits of the system involve reducing data acquisition channels while maintaining the ability to extract substantial structural response information. The approach presented uses an array of piezoelectric sensors wired to mimic the basic receptor connectivity of the biological nervous system. The method of solving for array outputs from individual sensor strains is demonstrated using a 3-by-3 sensor array. For an N-by-N array of sensors, the number of channels of data acquisition is reduced from N 2 in a conventional system to 2N in the artificial neural receptor system. The first few microseconds of signal output from the array rows and columns can determine the location of the excitation. An artificial neural network analysis can be used to extract excitation locations and individual sensor strains from the array. Acoustic emissions and dynamic strains are measured by the array.
Key Words: sensor • array • artificial • neural • piezoelectric • structural health monitoring
Structural Health Monitoring, Vol. 4, No. 3,
229-245 (2005) This article has been cited by other articles:
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