Structural health monitoring methodology for aircraft condition-based maintenance

Jordi Saniger; Livier Reithler; Didier Guedra-Degeorges; Nobuo Takeda; Jean Pierre Dupuis

doi:10.1117/12.429645

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14 June 2001 Structural health monitoring methodology for aircraft condition-based maintenance

Jordi Saniger, Livier Reithler, Didier Guedra-Degeorges, Nobuo Takeda, Jean Pierre Dupuis

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Proceedings Volume 4332, Smart Structures and Materials 2001: Industrial and Commercial Applications of Smart Structures Technologies; (2001) https://doi.org/10.1117/12.429645
Event: SPIE's 8th Annual International Symposium on Smart Structures and Materials, 2001, Newport Beach, CA, United States

Abstract

Reducing maintenance costs while keeping a constant level of safety is a major issue for Air Forces and airlines. The long term perspective is to implement condition based maintenance to guarantee a constant safety level while decreasing maintenance costs. On this purpose, the development of a generalized Structural Health Monitoring System (SHMS) is needed. The objective of such a system is to localize the damages and to assess their severity, with enough accuracy to allow low cost corrective actions. The present paper describes a SHMS based on acoustic emission technology. This choice was driven by its reliability and wide use in the aerospace industry. The described SHMS uses a new learning methodology which relies on the generation of artificial acoustic emission events on the structure and an acoustic emission sensor network. The calibrated acoustic emission events picked up by the sensors constitute the knowledge set that the system relies on. With this methodology, the anisotropy of composite structures is taken into account, thus avoiding the major cause of errors of classical localization methods. Moreover, it is adaptive to different structures as it does not rely on any particular model but on measured data. The acquired data is processed and the event's location and corrected amplitude are computed. The methodology has been demonstrated and experimental tests on elementary samples presented a degree of accuracy of 1cm.

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Jordi Saniger, Livier Reithler, Didier Guedra-Degeorges, Nobuo Takeda, and Jean Pierre Dupuis "Structural health monitoring methodology for aircraft condition-based maintenance", Proc. SPIE 4332, Smart Structures and Materials 2001: Industrial and Commercial Applications of Smart Structures Technologies, (14 June 2001); https://doi.org/10.1117/12.429645

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