Real-Time Digital Twin of a Wound Rotor Induction Machine Based on Finite Element Method

Bouzid, Sami; Viarouge, P.; Cros, J.

doi:10.3390/en13205413

Cited by 23 publications

(25 citation statements)

References 18 publications

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“…We mentioned that creation of a DTF is an iterative process. There currently is no optimal way to approach it, but literature agrees on this iterative principle, expertly demonstrated in [38,44,47,49]. The proposed process combines and expands upon the paradigm followed in these works.…”

Section: Creating the Dtf Iterativelymentioning

confidence: 91%

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Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects

Falekas

Karlis

2021

Energies

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State-of-the-art Predictive Maintenance (PM) of Electrical Machines (EMs) focuses on employing Artificial Intelligence (AI) methods with well-established measurement and processing techniques while exploring new combinations, to further establish itself a profitable venture in industry. The latest trend in industrial manufacturing and monitoring is the Digital Twin (DT) which is just now being defined and explored, showing promising results in facilitating the realization of the Industry 4.0 concept. While PM efforts closely resemble suggested DT methodologies and would greatly benefit from improved data handling and availability, a lack of combination regarding the two concepts is detected in literature. In addition, the next-generation-Digital-Twin (nexDT) definition is yet ambiguous. Existing DT reviews discuss broader definitions and include citations often irrelevant to PM. This work aims to redefine the nexDT concept by reviewing latest descriptions in broader literature while establishing a specialized denotation for EM manufacturing, PM, and control, encapsulating most of the relevant work in the process, and providing a new definition specifically catered to PM, serving as a foundation for future endeavors. A brief review of both DT research and PM state-of-the-art spanning the last five years is presented, followed by the conjunction of core concepts into a definitive description. Finally, surmised benefits and future work prospects are reported, especially focused on enabling PM state-of-the-art in AI techniques.

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Section: Creating the Dtf Iterativelymentioning

confidence: 91%

“…Ref. [49] is one of the first EM-related works encountered in this search. It proposes a precomputed FEM model originating from the machine geometry, fed with online measurements, which is the natural approach in considering an EM DT according to the state-of-the-art.…”

mentioning

confidence: 99%

Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects

Falekas

Karlis

2021

Energies

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“…FEM is an efficient numerical tool, widely used for induction motors electromagnetic and thermal analyses, envisioning design optimization [18,19], performance analysis [20], and fault diagnosis [21,22] among others.…”

Section: Finite Element Methodsmentioning

confidence: 99%

Thermal Analysis of Low-Power Three-Phase Induction Motors Operating under Voltage Unbalance and Inter-Turn Short Circuit Faults

Abbadi

Cardoso

2020

Machines

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Three-phase induction motors are considered to be the workhorse of industry. Therefore, induction motor faults are not only the cause of users’ frustrations but they also drive up the costs related to unexpected breakdowns, repair actions, and safety issues. One of the most critical faults in three-phase induction motors is related to the occurrence of inter-turn short circuits, due to its devastating consequences. The topic of inter-turn short-circuit faults in three-phase induction motors has been discussed over recent decades by several researchers. These studies have mainly dealt with early fault detection to avoid dramatic consequences. However, they fall short of addressing the potential burnout of the induction motor before the detection step. Furthermore, the cumulative action played by an inevitable degree of unbalanced supply voltages may exacerbate such consequences. For that reason, in deep detail, this paper delves into the thermal analysis of the induction motor when operating under these two harsh conditions: unbalanced supply voltages and the presence of the most incipient type of inter-turn short-circuit condition—a short-circuit between two turns only. In this work, the finite element method has been applied to create the faulty scenarios, and a commercial software (Flux2D) has been used in order to simulate the electromagnetic and thermal behavior of the machine for various degrees of severity of the aforementioned faulty modes. The obtained results confirm that the diagnostic tools reported in the literature might not be effective, failing to warrant the required lead time so that suitable actions can be taken to prevent permanent damage to the machine.

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“…Digital twins of an IM can be built using different approaches. The finite elements method (FEM) provides highly accurate IM models [ 14 ], but it demands huge computing resources in terms of speed and processing power, especially when simulating non-symmetrical, faulty IMs. This hampers its use in low-power embedded units.…”

Section: Introductionmentioning

confidence: 99%

Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach

Martínez-Román

Puche-Panadero

Sapena-Bañó

et al. 2021

Sensors

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Induction machines (IMs) are one of the main sources of mechanical power in many industrial processes, especially squirrel cage IMs (SCIMs), due to their robustness and reliability. Their sudden stoppage due to undetected faults may cause costly production breakdowns. One of the most frequent types of faults are cage faults (bar and end ring segment breakages), especially in motors that directly drive high-inertia loads (such as fans), in motors with frequent starts and stops, and in case of poorly manufactured cage windings. A continuous monitoring of IMs is needed to reduce this risk, integrated in plant-wide condition based maintenance (CBM) systems. Diverse diagnostic techniques have been proposed in the technical literature, either data-based, detecting fault-characteristic perturbations in the data collected from the IM, and model-based, observing the differences between the data collected from the actual IM and from its digital twin model. In both cases, fast and accurate IM models are needed to develop and optimize the fault diagnosis techniques. On the one hand, the finite elements approach can provide highly accurate models, but its computational cost and processing requirements are very high to be used in on-line fault diagnostic systems. On the other hand, analytical models can be much faster, but they can be very complex in case of highly asymmetrical machines, such as IMs with multiple cage faults. In this work, a new method is proposed for the analytical modelling of IMs with asymmetrical cage windings using a tensor based approach, which greatly reduces this complexity by applying routine tensor algebra to obtain the parameters of the faulty IM model from the healthy one. This winding tensor approach is explained theoretically and validated with the diagnosis of a commercial IM with multiple cage faults.

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Real-Time Digital Twin of a Wound Rotor Induction Machine Based on Finite Element Method

Cited by 23 publications

References 18 publications

Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects

Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects

Thermal Analysis of Low-Power Three-Phase Induction Motors Operating under Voltage Unbalance and Inter-Turn Short Circuit Faults

Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach

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