A New Strategy for Rotating Machinery Fault Diagnosis Under Varying Speed Conditions Based on Deep Neural Networks and Order Tracking. - Meng Rao; Ming Jian Zuo (ICMLA, 2018)

一种粗糙不确定的图像分割方法 (Rough Uncertain Image Segmentation Method). - Meng Rao; Duoqian Miao 001; Sheng Luo 006 (计算机科学, 2020)

Modified Varying Index Coefficient Autoregression Model for Representation of the Nonstationary Vibration From a Planetary Gearbox. - Yuejian Chen; Meng Rao; Ke Feng; Gang Niu 004 (IEEE Trans. Instrum. Meas., 2023)

Block feature selection based on NSGA-II applied to fault diagnosis of gearboxes. - Xianhua Chen; Zhigang Tian; Meng Rao (Adv. Eng. Informatics, 2023)

Multi-channel and multi-scale weight adaptive neural network for intelligent rotating speed extraction. - Xuemei Liu; Meng Rao; Ke Feng; Yuejian Chen (Expert Syst. Appl., 2025)

Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions. - Yuejian Chen; Xuemei Liu; Meng Rao; Yong Qin 002; Zhipeng Wang 002; Yuanjin Ji (Reliab. Eng. Syst. Saf., 2025)

Biomimetic Underwater Soft Snake Robot: Self-Motion Sensing and Online Gait Control. - Hang Shi; Yali Meng; Wenlong Cui; Meng Rao; Shuting Wang; Yangmin Xie (IEEE Trans. Robotics, 2025)