Intelligent Monitoring Method for Gear Grinding Machine Spindle Based on Multi-source Information Fusion

Author:

Zhang Guozhen,Kou Zhida,Zhang Cheng,Zhang Yingfeng

Publisher

Springer Nature Singapore

Reference11 articles.

1. Wang, Z., Du, W.: Research on monitoring milling force based on motor current signal of spindle system. Vibr. Impact 37(01), 259–264 (2018)

2. Zhou, Y., Sun, N., Li, Y., et al.: Research on CNC machine tool spindle status monitoring system based on electric motor current. Manuf. Technol. Mach. Tool 03, 71–73 (2011)

3. Tan, C.: Research on fault detection technology for electric spindle vibration based on wavelet transform. Hunan University (2011)

4. Wan, H., Yang, S.: Development of a vibration monitoring system for CNC machine tool spindles based on HHT. Vibr. Impact 33(06), 48–52 (2014)

5. Deng, S., Xu, X., Zhang, J., et al.: Research on fault diagnosis of CNC machine tool spindles based on noise wavelet envelope spectrum. Mach. Tool Hydraulic 37(12), 219–221 (2009)

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