Title
Design and evaluation of a wireless sensor network based aircraft strength testing system.
Abstract
The verification of aerospace structures, including full-scale fatigue and static test programs, is essential for structure strength design and evaluation. However, the current overall ground strength testing systems employ a large number of wires for communication among sensors and data acquisition facilities. The centralized data processing makes test programs lack efficiency and intelligence. Wireless sensor network (WSN) technology might be expected to address the limitations of cable-based aeronautical ground testing systems. This paper presents a wireless sensor network based aircraft strength testing (AST) system design and its evaluation on a real aircraft specimen. In this paper, a miniature, high-precision, and shock-proof wireless sensor node is designed for multi-channel strain gauge signal conditioning and monitoring. A cluster-star network topology protocol and application layer interface are designed in detail. To verify the functionality of the designed wireless sensor network for strength testing capability, a multi-point WSN based AST system is developed for static testing of a real aircraft undercarriage. Based on the designed wireless sensor nodes, the wireless sensor network is deployed to gather, process, and transmit strain gauge signals and monitor results under different static test loads. This paper shows the efficiency of the wireless sensor network based AST system, compared to a conventional AST system.
Year
DOI
Venue
2009
10.3390/s90604195
SENSORS
Keywords
Field
DocType
aircraft strength testing,wireless sensor network,cluster-star topology protocol,undercarriage static test
Key distribution in wireless sensor networks,Wireless,Wireless site survey,Systems design,Network topology,Electronic engineering,Real-time computing,Engineering,Mobile wireless sensor network,Wi-Fi array,Wireless sensor network,Embedded system
Journal
Volume
Issue
ISSN
9
6.0
1424-8220
Citations 
PageRank 
References 
7
0.58
2
Authors
6
Name
Order
Citations
PageRank
Jian Wu170.58
Shenfang Yuan27612.49
Genyuan Zhou3211.52
Sai Ji4367.10
Zilong Wang514624.23
Y.-Y. Wang653975.11