Yu Tang

Deep Reinforcement Learning Bearing Fault Diagnosis Method Based on Improved Reward Function

2023

In deep reinforcement learning, the traditional reward function is limited in the problem of multi-class sample imbalance. In this paper, an improved reward function based deep reinforcement learning bearing fault diagnosis method is proposed. Firstly, …

Sensor-data-based Photovoltaic Power Prediction Using Support Vector Machine Optimized by Improved Dragonfly Algorithm

2024 · Sensors and Materials

A large-scale integration of photovoltaic (PV) systems can degrade the stability of the power grid.Therefore, it is important to accurately predict the short-term output power generated from PV systems to achieve better grid power distribution …