Modeling and diagnostic of incipient inter-turn faults for a three phase permanent magnet synchronous motor

Obeid, Najla Haje; Boileau, Thierry; Nahid‐Mobarakeh, Babak

doi:10.1109/ias.2014.6978414

Cited by 13 publications

(14 citation statements)

References 20 publications

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“…The basic mathematical models in the abc reference frame of healthy three-phase PMSMs [35] and multiphase PMSMs [36] have been built. When the inter-turn short circuit occurs in the phase a of the motor, some parameters in the voltage equation and the magnetic equation will change.…”

Section: Model-based Fault Diagnosis Methodsmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

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Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields. In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the electrical, mechanical and magnetic faults of the permanent magnet synchronous motor are introduced. Next, common fault diagnosis methods, such as model-based fault diagnosis, different signal processing methods, and data-driven diagnostic algorithms are enumerated. The research summarized in this paper mainly includes fault performance, harmonic characteristics, different time-frequency analysis techniques, intelligent diagnosis algorithms proposed recently and so on.

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Section: Model-based Fault Diagnosis Methodsmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

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“…Step 3. Calculate the value of as (14), and in the calculation of , is calculated as shown in (14), where is the th approximation of the Hesse Matrix, as shown in Figure 3: The block diagram of fault parameter identification based on trust region algorithm.…”

Section: (16)mentioning

confidence: 99%

“…However, this fault model is not suitable for AI fault diagnosis based on parameter optimization. Literature [13] and literature [14] proposed two mathematical models of PMSM with ITSC fault for fault diagnosis. Unfortunately, these models are all about threephase PMSM and relatively complex.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, these models are all about threephase PMSM and relatively complex. If the fault model of five-phase PMSM was built by the way shown in literature [13] and literature [14], the model would be more complex, and the calculation for the subsequent fault diagnosis based on parameter optimization would increase greatly. Thus, the efficiency of fault diagnosis would be affected.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Fault Diagnosis of Interturn Short Circuit for Five-Phase Permanent Magnet Synchronous Motor

Yang

Dou

Dai

2015

Journal of Electrical and Computer Engineering

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Taking advantage of the high reliability, multiphase permanent magnet synchronous motors (PMSMs), such as five-phase PMSM and six-phase PMSM, are widely used in fault-tolerant control applications. And one of the important fault-tolerant control problems is fault diagnosis. In most existing literatures, the fault diagnosis problem focuses on the three-phase PMSM. In this paper, compared to the most existing fault diagnosis approaches, a fault diagnosis method for Interturn short circuit (ITSC) fault of five-phase PMSM based on the trust region algorithm is presented. This paper has two contributions. (1) Analyzing the physical parameters of the motor, such as resistances and inductances, a novel mathematic model for ITSC fault of five-phase PMSM is established. (2) Introducing an object function related to the Interturn short circuit ratio, the fault parameters identification problem is reformulated as the extreme seeking problem. A trust region algorithm based parameter estimation method is proposed for tracking the actual Interturn short circuit ratio. The simulation and experimental results have validated the effectiveness of the proposed parameter estimation method.

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“…The aging of the mechanical, electrical and chemical properties of electric motors is a very important consideration in determining its overall health condition to avoid unwanted breakdowns and potential unsafe and hazardous operations [14,20,21,28,8]. In fact, a low resistance value of the electric motor could cause catastrophic failures in the electronic driver circuit that supplies power to the machine.…”

Section: Introductionmentioning

confidence: 99%

Novel Polarization Index Evaluation Formula and Fractional-Order Dynamics in Electric Motor Insulation Resistance

Gonzalez¹,

Petráš

Ortigueira

2018

FCAA

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One of the common test metrics prescribed by IEEE Std 43 for testing motor insulation is the Polarization Index (P.I.) which evaluates the “goodness” of the machine’s insulation resistance by getting the ratio of the insulation resistance measured upon reaching t2 > 0 minutes (IRt2) from t1 > 0 minutes (IRt2) for t2 > t1 > 0, after applying a DC step voltage. However, such definition varies from different manufacturers and operators despite of decades of research in this area because the values of t1 and t2 remain to be uncertain. It is hypothesized in this paper that the main cause of having various P.I. definitions in literature is due to the lack of understanding of the electric motor’s dynamics at a systems level which is usually assumed to follow the dynamics of the exponential function. As a result, we introduce in this paper the fractional dynamics of an electric motor insulation resistance that could be represented by fractional-order model and where the resistance follows the property of a Mittag-Leffler function rather than an exponential function as observed on the tests done on a 415-V permanent magnet synchronous motor (PMSM). As a result, a new PMSM health measure called the Three-Point Polarization Index (3PPI) is proposed.

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Modeling and diagnostic of incipient inter-turn faults for a three phase permanent magnet synchronous motor

Cited by 13 publications

References 20 publications

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Modeling and Fault Diagnosis of Interturn Short Circuit for Five-Phase Permanent Magnet Synchronous Motor

Novel Polarization Index Evaluation Formula and Fractional-Order Dynamics in Electric Motor Insulation Resistance

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