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Towards the intelligent analysis of ferrograph images

  • Jingqiu WangEmail author
  • Xinliang Liu
  • Ming Wu
  • Lianjun Wang
  • Xiaolei Wang
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 73)

Abstract

Ferrography determines the wear condition and failure mechanisms of the equipments through quantitative and qualitative analysis on the quantity, size, shape, and color of wear particles. Computer aided intelligent analysis of ferrograph images is an essential way to improve the efficiency and accuracy of ferrography. The historical progress of ferrograph image processing and analysis is reviewed, and a new strategy for ferrograph image analysis based on convolutional neural network is proposed and studied in this paper.

Keywords

Ferrography Image processing Convolutional neural network 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jingqiu Wang
    • 1
    Email author
  • Xinliang Liu
    • 1
  • Ming Wu
    • 1
  • Lianjun Wang
    • 1
  • Xiaolei Wang
    • 1
  1. 1.National Key Laboratory of Science and Technology on Helicopter TransmissionNanjing University of Aeronautics and AstronauticsNanjingChina

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