Neural-network-based signal monitoring in a smart structural system

Stuart S. Chen; Sungkon Kim

doi:10.1117/12.173945

1 May 1994 Neural-network-based signal monitoring in a smart structural system

Stuart S. Chen, Sungkon Kim

Proceedings Volume 2191, Smart Structures and Materials 1994: Smart Sensing, Processing, and Instrumentation; (1994) https://doi.org/10.1117/12.173945
Event: 1994 North American Conference on Smart Structures and Materials, 1994, Orlando, FL, United States

Abstract

This paper focuses on the signal processing aspect of a smart structure computational support environment for health monitoring, investigating the use of neural networks to identify and locate structural damage in a steel truss structure instrumented with accelerometers and strain gauges. Cracking damage is simulated by introducing sawcuts into the main members of the structure. Results using accelerometer data alone indicate that Quickprop backpropagation neural networks constitute a promising tool for these purposes, although network performance in locating damage should be improved by use of strain data as well.

Citation Download Citation

Stuart S. Chen and Sungkon Kim "Neural-network-based signal monitoring in a smart structural system", Proc. SPIE 2191, Smart Structures and Materials 1994: Smart Sensing, Processing, and Instrumentation, (1 May 1994); https://doi.org/10.1117/12.173945

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