This paper outlines recent progress towards the development of an innovative approach to an intelligent sensing network for airframe maintenance in hidden areas. In the maintenance of aircraft structures, substantial costs are associated with corrosion prevention and control, and a large proportion of these costs are incurred during regular inspections of hard-to-access areas. If the progression of corrosion can be monitored and predicted by a sensor system, then maintenance can be rescheduled on an as-needed basis.
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