Research on Non Intrusive Intelligent Monitoring System for Elevator State

Author:

Ma Yao,Yang Yu,Wang Qianshan,Li Xuepeng,Xu Zeng,Li Haifang

Publisher

Springer Singapore

Reference19 articles.

1. Wen, P., Zhi, M., Zhang, G., et al.: Fault prediction of elevator door system based on PSO-BP neural network. Engineering 8(11), 761–766 (2016)

2. Feng, Y., Xing, H., Chen, Y.: Elevator door fault warning system based on microcomputer. Machinery 56(10), 99–101 (2018)

3. Wang, X., Ge, H., Wang, R., et al.: Design of high concurrent communication server of elevator remote monitoring system. Comput. Sci. 44(4), 157–160 (2017)

4. Zhao, H., Wu, Y., He, P., et al.: Research on fault detection method of elevator traction machine brake. Mach. Tool Hydraul. 046(001), 185–188 (2018)

5. Zheng, X., Fu, X., Tang, X.: Research on elevator fault monitoring method based on power quality analyzer. Electron. Test 15, 95–96 (2018)

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