An Online Fault Diagnosis Method for PEMFC Based on Output Voltage and Transfer Convolutional Neural Network

IF 7.5 1区工程技术 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Industrial Electronics Pub Date : 2025-01-22 DOI:10.1109/tie.2024.3525115

Zhirui Guo, Rui Ma, Haoran Ma, Zhanyu Li, Peiyao Xiong, Wentao Jiang, Yang Zhou

引用次数: 0

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基于输出电压和传递卷积神经网络的PEMFC在线故障诊断方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Industrial Electronics 工程技术-工程：电子与电气

CiteScore

16.80

自引率

9.10%

发文量

1396

审稿时长

6.3 months

期刊介绍： Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.