A Review of Gear Defect Detection Research

Author:

Wang Chen,Yang Shuai

Publisher

Springer Nature Singapore

Reference12 articles.

1. Cai, W., Xue, F., Jing, J., Liang, S.: Application of eddy current flaw detection in the quality inspection of weld coating state. Ship Sea Eng. 50(02), 125–128 (2021)

2. Lee, C.K.M., Zhang, S., Z, Ng K. K. H.: Development of an industrial Internet of things suite for smart factory towards re-industrialization. Adv. Manuf. 5(4), 335–343 (2017)

3. Zhang, G., Ge, G., Zhu, R., Sun, Q.: Gear defect detection based on improved YOLOv3 network[J]. Adv. Laser Optoelectron. 57(12), 153161 (2020)

4. Li, Z., Wang, Y., Wang, K.-S.: Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: industry 4.0 scenario. Adv. Manuf. 5(4), 377–387 (2017). https://doi.org/10.1007/s40436-017-0203-8

5. Liu, Y., Liu, H.Y., Fan, J.L., et al.: A review of research and applications of deep learning based small target detection. J. Electron. 48(3), 12 (2020)

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