• Infrared Technology
  • Vol. 42, Issue 11, 1053 (2020)
Yang WANG and Li YANG
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    WANG Yang, YANG Li. Infrared Detection and Identification of Rotating Machinery Based on Faster R-CNN[J]. Infrared Technology, 2020, 42(11): 1053 Copy Citation Text show less
    References

    [4] Bagavathiappan S, Lahiri B B, Saravanan T, et al. Infrared thermography for condition monitoring – A review[J]. Infrared Physics & Technology, 2013, 60(5): 35-55.

    [5] Tran Van Tung, YANG Bo-Suk, GU Fengshou, et al. Thermal image enhancement using bi-dimensional empirical mode decomposition in combination with relevance vector machine for rotating machinery fault diagnosis[C]//Mechanical Systems & Signal Processing, 2013, 38(2): 601-614.

    [7] Krizhevsky A, Sutskever I, Hinton G. ImageNet Classification with Deep Convolutional Neural Networks[J]. Communications of the ACM, 2017, 60(6): 84-90.

    [8] Russakovsky O, Deng J, Su H, et al. Image Net Large Scale Visual Recognition Challenge[J]. International Journal of Computer Vision, 2015, 115(3): 211-252.

    [9] Girshick R, Donahue J, Darrell T, et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2014: 580-587.

    [10] Girshick R. Fast R-CNN[C]//IEEE International Conference on Computer Vision, 2015: 1440-1448.

    [11] REN S, HE K, Girshick R , et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 39(6): 1137-1149.

    [12] Redmon J, Divvala S, Girshick R, et al. You Only Look Once: Unified, Real-Time Object Detection[C]//IEEE Conference on Computer Vision & Pattern Recognition, 2016: 779-788.

    [13] LIU W, Anguelov D, Erhan D, et al. SSD: Single Shot MultiBox Detector[C]// European Conference on Computer Vision, 2016: 21-37.

    [14] Redmon J, Farhadi A. YOLO9000: Better, Faster, Stronger[C]//IEEE Conference on Computer Vision & Pattern Recognition, 2017: 6517-6525.

    [15] HE K, Gkioxari G, Dollar P, et al. Mask R-CNN[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017(99): 1.

    [16] Redmon J, Farhadi A. YOLOv3: An Incremental Improvement[J/OL]. 2018, https://arxiv.org/abs/1804.02767.

    [17] LIU L, OUYANG W, WANG X, et al. Deep Learning for Generic Object Detection: A Survey[J]. International Journal of Computer Vision, 2020, 128(2): 261-318.

    [23] Szegedy C, Liu W, Jia Y, et al. Going Deeper with Convolutions[C]// IEEE Computer Vision and Pattern Recognition, 2015: 1-9.

    [24] Simonyan K, Zisserman A. Very Deep Convolutional Networks for Large-Scale Image Recognition[J/OL]. 2014, https://arxiv.org/abs/1409. 1556.

    [25] HE K, ZHANG X, REN S , et al. Deep Residual Learning for Image Recognition[C]// IEEE Computer Vision and Pattern Recognition, 2016: 770-778.

    WANG Yang, YANG Li. Infrared Detection and Identification of Rotating Machinery Based on Faster R-CNN[J]. Infrared Technology, 2020, 42(11): 1053
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