Isolation forest-based modular multilevel converter open-circuit fault diagnosis method devices
AssigneeSoutheast University
InventorsFujin DENG, Yufei CHEN, Chengkai LIU
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AssigneeSoutheast University
InventorsFujin DENG, Yufei CHEN, Chengkai LIU
Estimating the term…
The present invention discloses an isolation forest (IF)-based modular multilevel converter (MMC) open-circuit (OC) fault diagnosis method, including the following steps: sampling capacitor voltages of submodules (SM), constructing an isolation tree (IT) according to capacitor voltage data, and calculating a depth of each SM in the IT; and forming an IF based on the ITs, calculating average depths of the SMs in the IF, taking an SM with the minimum average depth as an output of the IT, and finally locating a faulty SM by an output buffer to realize accurate location of the faulty SM. Only capacitor voltages of SMs are involved, and no extra hardware resources are required. System parameters are not involved, construction of a system mathematical model and manual setting of an empirical threshold are not required, and the robustness is high. Faults are located using sparsity and difference of abnormal data based on unsupervised learning, mass data analysis and sample training are not required, and the method has the advantages of linear time complexity, small data volume, simple calculation process, low calculation cost, and the like.
An isolation forest (IF)-based modular multilevel converter (MMC) open-circuit (OC) fault diagnosis method, comprising the following steps:
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