Bio-Inspired Fault Diagnosis for Aircraft Fuel Pumps Using a Cloud-Edge System

Yang Miao, Yantang Li, Jun Pan, Zhen Liu, Lei Liu, Zeng Wang, Zijing Wang · 2023

Read Bio-Inspired Fault Diagnosis for Aircraft Fuel Pumps Using a Cloud-Edge System by Yang Miao, Yantang Li, Jun Pan, Zhen Liu, Lei Liu, Zeng Wang, Zijing Wang (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10741762.txt.

Description

Yang Miao and co-authors design a cloud-edge system that watches aircraft fuel pumps for faults, in a 2023 paper. The pump is the heart of a plane's fuel system, and more sensors now stream more data from it. Sending all of that to one place slows the math and dulls the warnings. Their fix splits the work by where it runs best.

Sensors feed edge units near the pump, which judge odd readings with a threshold rule and a voting trick. Suspect cases go to the cloud, where a learning model sorts the fault type and severity. The split keeps warnings fast and sharp at once. In head-to-head tests, the system beat four known methods by clear margins in accuracy. The authors present it as a model for health checks on other complex machines.

Catalog record

CREATORYang Miao, Yantang Li, Jun Pan, Zhen Liu, Lei Liu, Zeng Wang, Zijing Wang
YEAR2023
COLLECTIONPAPERS
FORMATTXT
FILE SIZE34 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC10741762

Browse the full library · About the Tower of Babel