Abstract

To improve the safety and economy of aircraft pallet use, an aircraft pallet damage monitoring method based on damage subarea identification and probability-based diagnostic imaging is proposed. In the proposed method, first, the large aircraft pallet monitoring area is divided into rectangular subareas, and a piezoelectric transducer sensor is pasted on each vertex of the rectangular subarea that is used to excitation and sensing the Lamb wave. Second, the damage subarea is identified according to the diagonal damage indexes. Third, the damage position in the damage subarea is calculated using the probability-based diagnostic imaging method and coordinate probability weighted algorithm. Finally, the aircraft pallet damage can be localized based on the damage subarea position. Frequency selection and damage simulation study results show that the Lamb wave is sensitive to aircraft pallet damage whose centre frequency ranges from 50 kHz to 150 kHz, and the damage index of a steel ball is less than that of all real aircraft pallet damage from 95 kHz to 125 kHz. The verification results show that the proposed method can locate aircraft pallet damage with an error of less than 2 cm.

Highlights

  • An aircra pallet is a unit load device used to load luggage, freight, mail and other things onto an aircra, as shown in Figure 1. e use of a pallet enables a large quantity of cargo to be bundled into a single unit. is process leads to fewer loads, which means savings in ground crew time and e ort as well as the prevention of ight delays [1]

  • Among the various technologies explored for Structural health monitoring (SHM), the Lamb wave has shown great potential because it is sensitive to various damages over long distances [5, 6]

  • The Lamb wave is generated and received by piezoelectric transducer sensor distributed on the test specimen [7, 8]

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Summary

Introduction

An aircra pallet is a unit load device used to load luggage, freight, mail and other things onto an aircra , as shown in Figure 1. e use of a pallet enables a large quantity of cargo to be bundled into a single unit. is process leads to fewer loads, which means savings in ground crew time and e ort as well as the prevention of ight delays [1]. Among the existing researches of SHM technology based on Lamb wave and piezoelectric transducer, damage imaging algorithm is an interpretable and intuitive image re ecting the overall health status of the monitored structure, which has been widely studied [24, 25], such as the delay-and-sum imaging method [26,27,28,29,30], ultrasonic phased array imaging method [31,32,33,34], time reversal imaging method [35,36,37,38,39], multiple signal classi cation method [40,41,42,43] and spatial-wavenumber lter imaging method [44,45,46,47].

The Principle of Aircraft Pallet Damage Monitoring
Frequency Selection and Aircraft Pallet
Findings
Experimental Validation
Full Text
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