Yubo Ma

Transient-extracting transform based on non-convex sparse regularization: A useful scheme for bearing fault feature enhancement

Yong Lv, Rui Yuan, Yubo Ma, 2022, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Velocity Synchronous Chirplet Extracting Transform: An Effective Tool for Fault Diagnosis of Variable-Speed Rotational Machinery

Yong Lv, Rui Yuan, Yubo Ma, 2022, IEEE Sensors Journal.

An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy

Cancan Yi, Yi Zhang, Yubo Ma, 2019, Entropy.

A Novel Demodulation Analysis Technique for Bearing Fault Diagnosis via Energy Separation and Local Low-Rank Matrix Approximation

Cancan Yi, Yi Zhang, Yong Lv, 2019, Sensors.

Synchro spline-kernelled chirplet extracting transform: A useful tool for characterizing time-varying features under noisy environments and applications to bearing fault diagnosis

Yong Lv, Mao Ge, Yubo Ma, 2021 .

Research on Multichannel Signals Fault Diagnosis for Bearing via Generalized Non-Convex Tensor Robust Principal Component Analysis and Tensor Singular Value Kurtosis

Yong Lv, Mao Ge, Yubo Ma, 2020, IEEE Access.

A Novel Fault Feature Recognition Method for Time-Varying Signals and Its Application to Planetary Gearbox Fault Diagnosis under Variable Speed Conditions

Cancan Yi, Yong Lv, Yubo Ma, 2019, Sensors.

An Effective Method for Improving Low-Frequency Response of Geophone

Jie-Ying Wu, Yubo Ma, Kai Ma, 2023, Sensors.

Matching Synchroextracting Transform for Mechanical Fault Diagnosis Under Variable-Speed Conditions

G. Song, Yong Lv, Rui Yuan, 2022, IEEE Transactions on Instrumentation and Measurement.

The improved variational nonlinear chirplet mode decomposition via local maximum synchrosqueezing transform and recursive mode extracting scheme for robust estimation of nonlinear chirplet modes and application to fault detection of rotary machine

Cancan Yi, Yong Lv, Yubo Ma, 2023, Measurement Science and Technology.