Intelligent Detection Method of Zonal Safety Analysis for Large Civil Aircraft

Konferenz: MEMAT 2022 - 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology
07.01.2022 - 09.01.2022 in Guilin, China

Tagungsband: MEMAT 2022

Seiten: 4Sprache: EnglischTyp: PDF

Autoren:
Liang, Lei; Kang, Wenwen; Liu, Ying (Shanghai Aircraft Design and Research Institute of COMAC, No.5188, Jinke Road, Pudong Xinqu District, Shanghai, China)

Inhalt:
Zonal Safety Analysis (ZSA) is an important task in the safety assessment of large civil aircraft. It is a compliance check that considers system or equipment installation, maintenance errors, external environmental changes, design and installation criterion, system operation, etc. Relying on manual examination is inefficient, and it is difficult to ensure the accuracy and integrity of ZSA. This paper proposes an intelligent detection method based on a three-layer data architecture and develops algorithms and a relevant platform for application to significantly improve the efficiency, accuracy and integrity of ZSA and ensure the safety of aircraft.