A Microfluidic Oil Particles Monitoring System based on Raspberry Pi
Author:
Affiliation:
1. Nanjing University of Aeronautics and Astronautics,College of Civil Aviation,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941505/9941739/09941791.pdf?arnumber=9941791
Reference20 articles.
1. The segmentation of wear particles in ferrograph images based on an improved ant colony algorithm[J];jingqiu;Wear,2014
2. A wear state diagnosis method based on the fusion of online Ferrograph image feature information [J];hui;Journal of Harbin University of Technology,2012
3. Full-life dynamic identification of wear state based on on-line wear debris image features [J];tonghai;Mechanical Systems and Signal Processing,2014
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1. Open Hardware for Microfluidics: Exploiting Raspberry Pi Singleboard Computer and Camera Systems for Customisable Laboratory Instrumentation;Biosensors;2023-10-23
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