Ferrographic Wear Particle Identification of Marine Lubricating Oil Based on YOLO v5s and Attention Mechanism

Author:

Li Dayang1,Zhou Fanhao1,Gao Yutong1,Yang Kun1,Yan Pengcheng1

Affiliation:

1. Wuhan University of Technology,State Key Laboratory of Maritime Technology and Safety,Wuhan

Publisher

IEEE

Reference33 articles.

1. Influence of tribology on global energy consumption, costs and emissions

2. An improved control-limit-based principal component analysis method for condition monitoring of marine turbine generators

3. The study of monitoring non-ferromagnetic wear particle using ferrography [J];Liu;Lubrication Engineering, 2004

4. Study on wear condition monitoring of coal mine machinery by comprehensive ferrography analysis method [J];Li;Coal Technology,2017

5. Towards the development of an automated wear particle classification system

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