Research and application trends of predictive techniques in aircraft maintenance

doi:10.16615/j.cnki.1674-8190.2021.02.03

Home > Archive>Volume 12, Issue 2, 2021 >21-29. DOI:10.16615/j.cnki.1674-8190.2021.02.03

Research and application trends of predictive techniques in aircraft maintenance
DOI:
                        10.16615/j.cnki.1674-8190.2021.02.03
                    
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                        KONG XuKONG Xu
Civil Aviation University of China
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YU DeshuiYU Deshui
Civil Aviation University of China
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DING KunyingDING Kunying
Civil Aviation University of China
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LIU PeipeiLIU Peipei

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Affiliation:Civil Aviation University of China
Clc Number:V267
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Abstract:

Predictive maintenance technique basing on real-time acquisition, transmission and analysis of aircraft data has been a trend in aviation industry. Starting from the technical connotation and systematic function of aircraft maintenance, combining with the research hotspots obtaining from journal articles and patents in this field, we systematically describe the developing status and tendency of predictive aircraft maintenance techniques. Then we sort out the application of new generation of information techniques such as AI, automatic maintenance, autonomous drone, robot, and intelligent supply chain. Finally, basing on the generalization of technical framework and key techniques, we proposed several strategic suggestions for domestic development and localization of predictive aircraft maintenance techniques.

Key words:aircraft; predictive maintenance; PHM; industrial robot; artificial intelligence

Reference

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KONG Xu, YU Deshui, DING Kunying, LIU Peipei. Research and application trends of predictive techniques in aircraft maintenance[J]. Advances in Aeronautical Science and Engineering,2021,12(2):21-29

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Received:August 24,2020
Revised:October 28,2020
Adopted:November 03,2020
Online: April 24,2021
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