A Fault Diagnosis Method Based on an Improved Deep Q-Network for the Interturn Short Circuits of a Permanent Magnet Synchronous Motor

Li, Yuanjiang; Wang, Ruiqi; Mao, Runze; Zhang, Yi; Zhu, Kai; Li, Yuanjun; Zhang, Jinglin

doi:10.1109/tte.2023.3306437

Cited by 3 publications

(5 citation statements)

References 35 publications

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“…Moreover, its diagnostic process does not rely on precise DFIG models like [4,14], but it has a stronger anti-interference ability. And compared to knowledge-based methods [16,17], it does not need to rely on a large number of samples, it is not affected by the training model, and can achieve high-precision fault diagnosis at a small cost.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…Similarly, a high-order sliding mode controller is proposed in [15] to achieve HRC fault-tolerant control and fault severity estimation. In [16,17], two deep learning algorithms, Deep Neural Networks, and deep Q-network, are used for the intelligent diagnosis of winding faults in PMSMs.…”

Section: Related Workmentioning

confidence: 99%

“…Based on the relevant literature, the HRC fault diagnosis methods can be roughly classified into the following three categories: model analysis-based methods [4,14,15,21], signal processing-based methods [5,6,8,[10][11][12][13]18,20], and knowledge-based methods [7,9,16,17,19]. Among them, the model analysis method delves into the fault model and mechanism of machines, but, in practical application, it relies on accurate mathematical models.…”

Section: Contributionsmentioning

confidence: 99%

“…According to ( 13), (17), and ( 18), the potential drift of the stator winding neutral point can be expressed as…”

Section: Potential Drift Of Stator Winding Neutral Pointmentioning

confidence: 99%

“…In Figure 4, similar to the non-salient pole synchronous generator, the synchronous reactance X s is defined, and expressed as follows: As shown in Figure 4, due to grid clamping, the voltage Uas , Ubs and Ucs does not change after the HRC fault. According to (17), the EMFs Ėas , Ėbs and Ėcs do not change using the HRC. Then, three phase voltages Ėas − Uas , Ėbs − Ubs and Ėcs − Ucs are still symmetrical after HRC occurs.…”

Section: Fault Location and Degree Estimationmentioning

confidence: 99%

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High-Resistance Connection Diagnosis of Doubly Fed Induction Generators

Ding,

Jin,

et al. 2023

Energies

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The high resistance connection fault of the stator is a common fault in doubly fed induction generators, which causes a three-phase imbalance in the stator circuit. Since the stator winding is directly connected to the power grid, interference from the asymmetric power grid must be eliminated in order to achieve the accurate diagnosis of stator resistance imbalance faults. Therefore, a new diagnosis method based on filter shunt capacitor banks is proposed in this paper. By introducing shunt capacitor banks, an artificial neutral point is constructed to replace the neutral point of the power grid. Then, the neutral point voltage of the stator winding relative to the artificial neutral point is selected as a fault characteristic signal. In this paper, the change in three-phase stator currents after a high-resistance connection fault is analyzed in detail, and by comparing the fault characteristic signal with three-phase stator currents, the fault phase location and fault severity of high-resistance connection can be accurately obtained. Finally, simulations are carried out via the field-circuit coupling method to validate the effectiveness of the proposed method.

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