A fault data analysis method for the landing gear based on association rule mining

Author:

Lai Junhang,Zhou Xiaobo,Li Shengjun

Publisher

SPIE

Reference12 articles.

1. Aircraft Landing Gear Design: Principles and Practices

2. A Data-Driven Approach to Detect Faults in the Airbus Flight Control System

3. Data sample capacity optimization for aero-engine flight test trending monitoring model [J];Gao,2018

4. Chen, Y., Sun, X., Cui L., Hu, L. Study on Fault Diagnosis of Aviation Equipment Based on Association Rules Mining [J]. Mathematics in Pratice and Theory.2021,51(09):99–107. https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKibYlV5Vjs7iy_Rpms2pqwbFRRUtoUImHRJ-jMs3llJDXDClxNCaTwW92kTut-o2hi7TlDPpMy05&uniplatform=NZKPT

5. An Improved Evaluation Methodology for Mining Association Rules

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