[1] Li Zhang, Liang Guo, Hongli Gao, Dawei Dong, Guoqiang Fu, Xin Hong. Instance-based ensemble deep transfer learning network: A new intelligent degradation recognition method and its application on ball screw[J]. Mechanical Systems and Signal Processing, 2020, 140: 106681. 

[2] Li Zhang, Hongli Gao, Juan Wen, Shichao Li, Qi Liu. A deep learning-based recognition method for degradation monitoring of ball screw with multi-sensor data fusion[J]. Microelectronics Reliability, 2017, 75: 215-222. 

[3] Li Zhang, Hongli Gao, Dawei Dong, Guoqiang Fu, Qi Liu. Wear calculation-based degradation analysis and modeling for remaining useful life prediction of ball screw[J]. Mathematical Problems in Engineering, 2018: 2969854. 

[4] Guoqiang Fu, Li Zhang, Jianzhong Fu, Hongli Gao, Yu’an Jin. F test-based automatic modeling of single geometric error component for error compensation of five-axis machine tools[J]. The International Journal of Advanced Manufacturing Technology, 2018, 94: 4493-4505.

[5] Li Zhang, Hongli Gao. A deep learning-based multi-sensor data fusion method for degradation monitoring of ball screws[C]. Prognostics and System Health Management Conference (PHM), 2016: 1-6.

[6] Yongwen Tan, Liang Guo, Hongli Gao, Li Zhang. Deep coupled joint distribution adaptation network: A method for intelligent fault diagnosis between artificial and real damages[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 70: 1-12. 

[7] Liang Guo, Yingqi Huang, Hongli Gao, Li Zhang. Ball screw fault detection and location based on outlier and instantaneous rotational frequency estimation[J]. Shock and Vibration, 2019: 7497363.