马赛｜山东大学｜学者主页

2026

Physics-informed data-driven method for intelligent disc cutter wear multi-source information monitoring

Runqi Li, Guang-Yuan Liu, Huiping Zhang, Hong-Fei Xie, Bright Liu, Si-Yong Zhang, Gui-Zhen Liu, Hongtao Zhu, Dun Liu, Sai Ma

Engineering applications of artificial intelligence

DOI

2025

Deep Contrastive Transfer Learning for Rotating Machinery Fault Diagnosis

Peng Zhu, Sai Ma, Qinkai Han, Fu-Lei Chu

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Deep spiking transfer learning for rotating machinery fault diagnosis

Peng Zhu, Sai Ma, Q. Han, Hongtao Zhu, Yeping Xiong, Ming J. Zuo, Fu-Lei Chu

Mechanical systems and signal processing

DOI

2025

Advances in artificial intelligence and digital twin for tunnel boring machines

Guangyu Liu, Yuanshou Tang, Huiping Zhang, Runqi Li, Hong-Mei Wang, Bright Liu, Si-Yong Zhang, Hongtao Zhu, Dun Liu, Sai Ma

Artificial Intelligence Review

DOI

2025

Deep Transfer Learning With Generalized Distribution Matching Measure for Rotating Machinery Fault Diagnosis

Peng Zhu, Sai Ma, Qinkai Han, Fu-Lei Chu

IEEE Transactions on Industrial Informatics

DOI

2024

基于多核监督流形学习的旋转机械故障诊断

杨长远，马赛，韩勤锴

《航空动力学报》

2023

Robust discriminant latent variable manifold learning for rotating machinery fault diagnosis

Chang-Chung Yang, Sai Ma, Q. Han

Engineering applications of artificial intelligence

DOI

2022

Enhanced Sparse Low-Rank Representation via Nonconvex Regularization for Rotating Machinery Early Fault Feature Extraction

Li Wang, Sai Ma, Q. Han

IEEE/ASME transactions on mechatronics

DOI

2022

Unified discriminant manifold learning for rotating machinery fault diagnosis

Chang-Chung Yang, Sai Ma, Q. Han

Journal of Intelligent Manufacturing

DOI

2022

Unified Sparse Time–Frequency Analysis: Decomposition, Transformation, and Reassignment

Li Wang, Sai Ma, Qinkai Han, Fulei Chu

IEEE Transactions on Industrial Informatics

DOI

2021

Reweighted Dual Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis

Li Wang, Sai Ma, Q. Han

IEEE Transactions on Instrumentation and Measurement

DOI

2019

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions

Sai Ma, F. Chu, Q. Han

Mechanical systems and signal processing

DOI

2019

Ensemble deep learning-based fault diagnosis of rotor bearing systems

Sai Ma, F. Chu

Computers in industry (Print)

DOI

2016

考虑测试不确定性的旋转机械健康管理方法

马赛

《南京航空航天大学》

2016

Uncertainty extraction based multi-fault diagnosis of rotating machinery

Sai Ma, Shun-Ming Li, Ye-Ping Xiong

Journal of Vibroengineering

DOI

2015

Vibration source model estimation and state specificity perception of a rotor structure

Sai Ma, Shun-Ming Li, Hai-Long Liu, Xiao-Dong Miao, Yong Wany, Tian-Wen Liu, Ye-Ping Xiong

2015

Uncertainty Reduced Novelty Detection Approach Applied to Rotating Machinery for Condition Monitoring

Sai Ma, Shun-Ming Li, Ye-Ping Xiong

DOI

2014

Vibration Analysis of Blade Under Multiple Composite Unsteady Excitations

Li-Cheng Fang, Shun-Ming Li, Sai Ma, Ji-Yong Li

2012

A Detection Technology for Weak Vibration Signal Based on Independent Component Analysis

Hai-Dong Guo, Shun-Ming Li, Yuan-Yuan Zhang, Xing-Xing Wang, Sai Ma

DOI

马赛

精选作品

期刊论文

Physics-informed data-driven method for intelligent disc cutter wear multi-source information monitoring

Deep Contrastive Transfer Learning for Rotating Machinery Fault Diagnosis

Deep spiking transfer learning for rotating machinery fault diagnosis

Advances in artificial intelligence and digital twin for tunnel boring machines

Deep Transfer Learning With Generalized Distribution Matching Measure for Rotating Machinery Fault Diagnosis

基于多核监督流形学习的旋转机械故障诊断

Robust discriminant latent variable manifold learning for rotating machinery fault diagnosis

Enhanced Sparse Low-Rank Representation via Nonconvex Regularization for Rotating Machinery Early Fault Feature Extraction

Unified discriminant manifold learning for rotating machinery fault diagnosis

Unified Sparse Time–Frequency Analysis: Decomposition, Transformation, and Reassignment

Reweighted Dual Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions

Ensemble deep learning-based fault diagnosis of rotor bearing systems

考虑测试不确定性的旋转机械健康管理方法

Uncertainty extraction based multi-fault diagnosis of rotating machinery

Vibration source model estimation and state specificity perception of a rotor structure

Uncertainty Reduced Novelty Detection Approach Applied to Rotating Machinery for Condition Monitoring

Vibration Analysis of Blade Under Multiple Composite Unsteady Excitations

A Detection Technology for Weak Vibration Signal Based on Independent Component Analysis

研究方向