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Three-level neutral-point-clamped （3L-NPC） interconnected converters have been widely used in the AC-DC hybrid distribution grids due to their superiorities of large capacity and high power quality. However，their working conditions are always with high power，varying load，and limited heat dissipation，etc.，with a high open-circuit failure rate of power switches. Meanwhile，existing fault diagnosis methods are mostly single mechanism-based or data-based，unable to overcome the problems of complex system model structure and changing operating conditions，resulting in low diagnostic accuracy and speed. To this end，a mechanism-data-fusion-driven fault diagnosis method for interconnected conversion systems was proposed. Firstly，a mechanism-data-fusion model was constructed using a neural network observer to improve the fault diagnosis accuracy. Subsequently，the trajectories of current residuals after open-circuit faults of different devices were analyzed，and a current residual table was summarized，based on which a fast and accurate open-circuit fault diagnosis method was formed. Finally，the experimental and hardware-in-the-loop results verify the effectiveness of the proposed method.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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