| Resumen |
Wireless sensors offer the promise of a paradigm shift from traditional schedule-driven maintenance to condition-based maintenance of aircraft subsystems. In particular this technology will benefit applications where running cables to sensors is difficult or impossible.
This is specially the case in rotary-wing aircraft. This work reports research carried out under the umbrella of the Wireless Intelligent Sensor Devices programme, supported by the UK
Technology Strategy Board, to advance the development of the hardware and software required to continuously in-flight monitor the wear rate within the pitch link end bearings and fitting of the Lynx Helicopter. This shall greatly enhance the operational readiness and cost effectiveness of the helicopter. Results of this research are reported in three areas:
1) development of low power sensing interface and signal conditioning, 2) pitch link test carried out to aid the development of feature extraction and wear detection algorithms and 3) intelligent feature extraction algorithms, wear detection and results
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