Research on Fuel Cell Fault Diagnosis Based on Genetic Algorithm Optimization of Support Vector Machine

• Published in: Energies (Basel) Vol. 15; no. 6; p. 2294
• Main Authors: Huo, Weiwei, Li, Weier, Sun, Chao, Ren, Qiang, Gong, Guoqing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2022
• Subjects: Classification; Efficiency; extreme learning machine; Fault diagnosis; fuel cell; Fuel cell vehicles; genetic algorithm; Genetic algorithms; Hydrogen; Neural networks; Neurons; Sensors; support vector machine; Support vector machines

The fuel cell engine mechanism model is used to research fault diagnosis based on a data-driven method to identify the failure of proton exchange membrane fuel cells in the process of operation, which leads to the degradation of system performance and other problems. In this paper, an extreme learni...