Processes, Volume 9, Issue 9
2021 September - 208 articles
Cover Story: With the rapid development of solar energy, photovoltaic (PV) module fault detection plays an important role in knowing how to enhance the reliability of the solar system and the fault type when a system problem occurs. The proposed hybrid algorithm of the chaos synchronization detection method (CSDM) with a convolutional neural network (CNN) is used for developing an intelligent PV module fault detection system. The original signal is measured by the NI PXI-5105 high-speed data acquisition system and is calculated by CSDM to establish the chaos dynamic error map as the image feature for diagnosing the fault state of the PV modules by CNN. View this paper. - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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