Health state diagnosis of air duct for photovoltaic inverter based on PSO-SVM classifier

作者：Song, Qiwei; Ma, Mingyao^*; Guo, Weisheng; Jiang, Tingzhi; Pan, Nianan

来源：Microelectronics and Reliability, 2023, 150: 115084.

DOI：10.1016/j.microrel.2023.115084

• Photovoltaic inverter
• Air duct blockage
• Particle swarm optimization (PSO)
• Fault detection
• Support vector machine (SVM)
• Classifier

Air duct blockage is a common and severe problem for photovoltaic inverter operating outdoors. It affects their efficiency significantly. This study conducts many experiments to analyze how duct blockage impacts the operating state of inverter. The health state of cooling duct is classified into four levels based on the analysis results. The relevant features of air duct blockage are extracted from the experimental data, and an air duct state diagnosis model based on particle swarm optimization SVM algorithm is proposed. To validate the proposed method, this paper performs model validation using test data in an open environment and compares the classification performance of various classifiers. The results demonstrate the effectiveness of the proposed model in assessing the health status of the cooling air duct in photovoltaic inverter.