Circuit faults;
Observers;
Hidden Markov models;
Stator windings;
Mathematical model;
Harmonic analysis;
Thermal sensors;
Current residual;
fault indicator;
inter turn short circuit fault;
Luenberger observer;
second harmonic;
synchronous reluctance machine (SynRM);
INDUCTION-MOTORS;
VOLTAGE;
DRIVES;
PMSM;
WINDINGS;
SYSTEMS;
POWER;
D O I:
10.1109/TIE.2021.3109514
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Interturn short-circuit faults are one of the most (if not the most) harmful electrical machine failures, that if not detected and mitigated at a very incipient stage of development may involve serious consequences, both in terms of repair costs and safety. This article proposes a novel interturn fault diagnostic technique for synchronous reluctance machines based on the Luenberger state observer and current's second-order harmonic. The superiority of the proposed approach over the conventional model-based techniques is the ability to evaluate the severity of the fault as well as the efficiency in detecting faults in early stages and under various operating conditions. The effectiveness of the proposed method is demonstrated and validated through several experimental tests.