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Image Recognition of Engine Ignition Experiment Based on Convolutional Neural Network

  • Shangkun Huang
  • Fengshun Lu
  • Yufei Pang
  • Sumei Xiao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)

Abstract

In the engine ignition experiment, the specific instant of the ignition is usually obtained from a large quantity of high-resolution pictures taken with high-speed cameras, which puts forward an urgent request for the rapid image recognition. To address this issue, a picture recognition method based on convolutional neural network (CNN) is described. First, a training data set for the CNN model is made based on the original experimental images. Second, the constructed CNN model is trained to obtain the classification result. Finally, the CNN model is evaluated and optimized for the image recognition of engine ignition. The experimental results show that the method can quickly and accurately recognize the engine ignition.

Keywords

Convolution neural network Data set Image recognition Engine ignition 

Notes

Acknowledgements

This work was supported by the National Key Research and Development 370 Plan of China under Grant No. 2017YFB0202101. We also express our gratitude to Lanying Ge (ROMTEC) for his technical supports.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Shangkun Huang
    • 1
  • Fengshun Lu
    • 2
  • Yufei Pang
    • 2
  • Sumei Xiao
    • 1
  1. 1.China Aerodynamics Research and Development Center, Computational Aerodynamics InstituteMianyangChina
  2. 2.School of Manufacturing Science & EngineeringSouthwest University of Science & TechnologyMianyangChina

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