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High speed trains

Multi-Sensor Fusion Framework for Bearing Temperature Prediction in High-Speed Trains

A new study from the School of Control Science and Engineering proposes a novel framework for predicting bearing temperatures in high-speed trains under variable operating conditions. The framework, called MSC-Ada-MTL, utilizes multi-scale feature extraction and operating condition recognition through adaptive multi-task learning to improve prediction accuracy and robustness. The approach

Hydroelectric power

Breakthrough in Data Acquisition: Researchers Develop Efficient System for Remote Monitoring of Hydroelectric Turbines

Scientists at National University of Science and Technology have made a significant breakthrough in data acquisition, developing a system for remote monitoring of hydroelectric turbines. The innovative system enables the efficient transmission and analysis of data from turbines operating in difficult-to-access conditions. By leveraging wireless data transmission and real-time processing,

Fatigue (Materials)

Evidence-Enhanced Data-Model-Driven Approach for Predicting Fatigue Crack Propagation

Researchers from Zhejiang University have developed a novel approach for simulating fatigue crack propagation in steel structures, utilizing advanced surrogate modeling techniques and data-driven physical model updating. The study aims to provide reliable decision-making basis for the dynamic life management and maintenance of steel structures. The researchers proposed an evidence-enhanced