Three-level npc inverter incipient fault detection statistical analysis

HIGHLIGHTS

  • who: Mehdi Baghli and colleagues from the Laboratoire IRECOM, University Djillali Liabès, Sidi Bel Abbes, Algeria, Paris, France have published the research: Three-Level NPC Inverter Incipient Fault Detection Statistical Analysis, in the Journal: Energies 2019, 12, x FOR PEER REVIEW of /2019/
  • what: For the fault detection the authors focus on the first four statistical moments and the extracted features and then the Cumulative Sum (CUSUM) algorithm as the feature analysis technique to improve the performances. For the classification study the authors propose to couple the knowledge on the faulty system brought by . . .

     

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