研究论文
Rolling bearing performance assessment with degradation twin modeling considering interdependent fault evolution
Tao Li, Huaitao Shi, Xiaotian Bai, Naipeng Li, Ke Zhang
Shenyang Jianzhu University Xi'an Jiaotong University Shenyang University of Technology
来源Mechanical Systems and Signal Processing
年份2024
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学术脉络
学科主题
工程Gear and Bearing Dynamics Analysis
Machine Fault Diagnosis Techniques · Metallurgy and Material Forming
参考文献 33
A descriptive model of wear evolution in rolling bearings
被引 137Idriss El-Thalji, Erkki Jantunen · Engineering Failure Analysis · 2014
Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment
被引 167Jianbo Yu · IEEE Transactions on Industrial Electronics · 2011
The application of a general mathematical morphological particle as a novel indicator for the performance degradation assessment of a bearing
被引 54Hongru Li, Yukui Wang, Bing Wang · Mechanical Systems and Signal Processing · 2016
此处列出前 3 条
引用本文 70
Systematic Review of Artificial Intelligence, Machine Learning, and Deep Learning in Machining Operations: Advancements, Challenges, and Future Directions
被引 46Rupinder Kaur, Raman Kumar, Himanshu Aggarwal · Archives of Computational Methods in Engineering · 2025
A multi objective optimization framework for smart parking using digital twin pareto front MDP and PSO for smart cities
被引 24Dinesh Kumar Sahu, Priyanshu Sinha, Shiv Prakash · Scientific Reports · 2025
Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data
被引 20Mohsin Ali Tunio, Mohsin Ali Tunio, Muhammad Amir Raza · Energy Science & Engineering · 2025
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