Online Learning Based Underwater Robotic Thruster Fault Detection
This paper presents a novel online learning-based fault detection designed for underwater robotic thruster health monitoring.In the fault detection algorithm, we build a mathematical model between the control variable and the propeller speed by fitting collected online work status data to the model.To improve the accuracy of online modeling, a Bask