ONLINE LEARNING BASED UNDERWATER ROBOTIC THRUSTER FAULT DETECTION

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

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An Inexpensive System for Rapid and Accurate On-site Detection of Garlic-Infected Viruses by Agarose Gel Electrophoresis Followed by Array Assay

Garlic can be infected by a variety of viruses, but mixed infections with leek yellow stripe virus, onion yellow dwarf virus, and allexiviruses are the most damaging, so an easy, inexpensive on-site method to simultaneously detect at least these three viruses Pu with a certain degree of accuracy is needed to produce virus-free plants.The most commo

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