Zhenling Mo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Risk Minimization

Electronic Equipment

Fault Diagnosis

Top Venues

IEEE Trans. Instrum. Meas.

IEEE Trans. Reliab.

IEEE Trans. Cybern.

Publications

Zhenling Mo, Zijun Zhang, Qiang Miao, Kwok-Leung Tsui
Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling. IEEE Trans. Cybern. 54 (3) (2024)
Bo Zhao, Qiqiang Wu, Ke Zhao, Zhenling Mo, Zijun Zhang, Xianmin Zhang
MNHP-GAE: A Novel Manipulator Intelligent Health State Diagnosis Method in Highly Imbalanced Scenarios. IEEE Internet Things J. 11 (13) (2024)
Tao Hu, Zhenling Mo, Zijun Zhang
A Life-Stage Domain Aware Network for Bearing Health Prognosis Under Unseen Temporal Distribution Shift. IEEE Trans. Instrum. Meas. 73 (2024)
Zhenling Mo, Zijun Zhang, Kwok-Leung Tsui
The Variational Kernel-Based 1-D Convolutional Neural Network for Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 70 (2021)
Heng Zhang, Zhenling Mo, Jianyu Wang, Qiang Miao
Nonlinear-Drifted Fractional Brownian Motion With Multiple Hidden State Variables for Remaining Useful Life Prediction of Lithium-Ion Batteries. IEEE Trans. Reliab. 69 (2) (2020)
Chong Luo, Zhenling Mo, Qiang Miao
Cyclic Harmonic Ratio Defined in Squared Envelope Spectrum and Log-Envelope Spectrum for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 69 (12) (2020)
Zhenling Mo, Jianyu Wang, Heng Zhang, Qiang Miao
Weighted Cyclic Harmonic-to-Noise Ratio for Rolling Element Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 69 (2) (2020)
Heng Zhang, Jing Jiang, Zhenling Mo, Qiang Miao
A Remaining Useful Life Prediction Framework for Multi-sensor System. QRS Companion (2019)
Jianyu Wang, Zhenling Mo, Heng Zhang, Qiang Miao
A Deep Learning Method for Bearing Fault Diagnosis Based on Time-Frequency Image. IEEE Access 7 (2019)
Mingfang Wang, Zhenling Mo, Hongyong Fu, Hua Yu, Qiang Miao
Harmonic L2/L1 Norm for Bearing Fault Diagnosis. IEEE Access 7 (2019)