A comprehensive study of machine learning algorithms for gpu based real-time monitoring and lifetime prediction of igbts
In critical energy infrastructures, Insulated Gate Bipolar Transistors (IGBTs) serve as
essential components but are prone to unexpected failures. Precise estimation of the …
essential components but are prone to unexpected failures. Precise estimation of the …
A stacking ensemble machine learning model for improving monthly runoff prediction
W Wang, M Gu, Z Li, Y Hong, H Zang, D Xu - Earth Science Informatics, 2025 - Springer
Accurate runoff prediction is significant for many tasks, such as water resource allocation,
flood control, disaster reduction, and water conservancy project operation and scheduling in …
flood control, disaster reduction, and water conservancy project operation and scheduling in …
Optimizing Insulated-Gate Bipolar Transistors' Lifetime Estimation: A Critical Evaluation of Lifetime Model Adjustments Based on Power Cycling Tests
This paper presents a detailed refinement and validation of two well-known lifetime
prediction models for IGBTs, namely CIPS08 and SKiM63, using experimental power cycling …
prediction models for IGBTs, namely CIPS08 and SKiM63, using experimental power cycling …
Forecasting the friction factor of a mine airway using an improvement stacking ensemble learning approach
The prediction of frictional air resistance using the inherent properties of roadways is of great
significance for ventilation network computation and flow regulation in underground mines …
significance for ventilation network computation and flow regulation in underground mines …
Froth-tailings fusion image-based concentrate ash content prediction in coal flotation using stacking model
C Zhang, D Dou, Y Peng, G **e - Energy Sources, Part A: Recovery …, 2025 - Taylor & Francis
Concentrate ash soft measurement based on coal flotation process images is a promising
approach. However, using a single model to predict ash content based solely on froth or …
approach. However, using a single model to predict ash content based solely on froth or …
[HTML][HTML] Strip Steel Defect Prediction Based on Improved Immune Particle Swarm Optimisation–Improved Synthetic Minority Oversampling Technique–Stacking
Z Fang, F Zhang, S Yu, B Wang - Applied Sciences, 2024 - mdpi.com
A model framework for the prediction of defects in strip steel is proposed with the objective of
enhancing the accuracy of defect detection. Initially, the data are balanced through the …
enhancing the accuracy of defect detection. Initially, the data are balanced through the …
A RLC parameter identification method for synchronous buck converters based on simulated annealing coupled cuckoo algorithm
X An, F Zhao, Z Dou, F Lu, Q Wang - Electrical Engineering, 2024 - Springer
Fault detection technology based on parameter identification is advancing rapidly. For
power electronic circuits, parameter identification is essential for accurately evaluating …
power electronic circuits, parameter identification is essential for accurately evaluating …
GPU-based Multivariate IGBT Lifetime Prediction
In the context of critical energy infrastructures (eg, hydrogen infrastructure) that extensively
utilize power converters, the need for reliable and accurate monitoring is of paramount …
utilize power converters, the need for reliable and accurate monitoring is of paramount …