Figure 20： Types of maintenance strategies-行业数据

and a region-based convolutional neural network (R-CNN). The developed tool can automati- cally detect individual PV modules from alRT imagery, detect faults and quantify the associated devices, these systems can perform continuous real-time analysis, identifying subtle perfor- mance deviations that may indicate potential faults [14o]. This approach not only improves fault detection accuracy but also minimizes false alarms, thereby further optimizing mainte- are in working order, it is carried out in regular intervals according to the annual maintenance plan proposed by the individual O&M specifications. It must also ensure that equipment war- quency is defined by the specific PV component manufacturer, as well as the remaining useful operating time before replacement. An example of corrective maintenance would be a thermo graphic inspection to identify for instance defective PV modules or hot spots within a PV plant. On the other hand, corrective maintenance corresponds to any activity that requires immediate Corrective maintenance includes fault diagnosis, temporary repair and permanent repair. Cor- rective maintenance involves identifying the root cause of failures, typically related to manu- facturer/model/serial number issues, installation errors, or environmental conditions like tem- perature inside enclosures. Currently both preventive and corrective maintenance are preva- tems. Advanced predictive maintenance uses historical data to create a baseline model, then