Mingzhe Mu

According to our database, Mingzhe Mu authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

Spatial-channel collaborative multi-scale graph interaction deep transfer learning for unsupervised rotating machinery fault diagnosis.

Xin Wang, Hongkai Jiang, Yutong Dong, Mingzhe Mu

Eng. Appl. Artif. Intell., 2026

2025

A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis.

Xin Wang, Hongkai Jiang, Mingzhe Mu, Yutong Dong

Reliab. Eng. Syst. Saf., 2025

An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples.

Yutong Dong, Hongkai Jiang, Xin Wang, Mingzhe Mu

Inf. Fusion, 2025

Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples.

Mingzhe Mu, Hongkai Jiang, Xin Wang, Yutong Dong

Eng. Appl. Artif. Intell., 2025

2024

Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning.

Yutong Dong, Hongkai Jiang, Renhe Yao, Mingzhe Mu, Qiao Yang

Reliab. Eng. Syst. Saf., March, 2024

An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples.

Yutong Dong, Hongkai Jiang, Xin Wang, Mingzhe Mu, Wenxin Jiang

Reliab. Eng. Syst. Saf., 2024

A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples.

Mingzhe Mu, Hongkai Jiang, Xin Wang, Yutong Dong

Adv. Eng. Informatics, 2024

Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis.

Yutong Dong, Hongkai Jiang, Mingzhe Mu, Xin Wang

Adv. Eng. Informatics, 2024