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Adaptive processing for noncontact inductive smart structure sensor interrogation system using hierarchical neural networks

A method of non-contact interrogation of electronic and opto-electronic systems embedded within composite materials has been recently demonstrated. The method is based upon inductive coupling between external and embedded coils etched on thin electronic circuit cards. Measurement at two frequencies allow the coil separation and the value of an electrical parameter of interest to be determined. An investigation into the practicability of utilizing neural processing to calculate these parameters was carried out. The final system utilized a hierarchical architecture of three neural networks combined with an adaptive measurement of voltage at a frequency determined by the coil separation calculated by one of the neural networks. The system was implemented using custom electronics and a PC laptop computer. A description of the design process is given together with system performance parameters.