Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges

Wallscheid, Oliver

doi:10.1109/ojia.2021.3091870

Cited by 73 publications

(22 citation statements)

References 124 publications

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“…Since temperature measurements are associated with costs and integration efforts, model-based estimation methods became highly relevant. In recent years, many promising contributions have been made to this field [28][29][30][31]. The first-order thermal model is usually used for motor thermal protection, fault diagnosis, and control due to its simplicity and ease of realization.…”

Section: Motor Temperature Estimationmentioning

confidence: 99%

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Neural network based robust optimal energy control of pulse width modulation‐inverter fed motor driving pump

Ebrahim,

Badr,

Elgendy

et al. 2023

IET Electric Power Appl

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This paper revisits loss model control (LMC) of the 3‐phase induction motor (IM) and presents a robust LMC algorithm for medium‐sized pump drives. Compared with other power loss reduction algorithms for IM, the presented one has the advantages of fast and smooth flux adaptation, high accuracy, and versatile implementation. An improved loss‐model for IM drive has been developed. The model considers the surplus power loss caused by inverter voltage harmonics and magnetic saturation using closed‐form equations. Further, the resistance‐temperature change is considered by a first‐order thermal model. To determine the optimal flux level that achieves maximum drive efficiency, an artificial neural network (ANN) controller is synthesised and trained offline. The voltage and speed control loops are connecting via the stator frequency to avoid the possibility of excessive magnetization. Beside, the obtained thermal information enhances motor protection and control. These together have the potential of making the proposed algorithm robust and reliable. The system reliability is investigated and assessed in terms of energy saving using ramp start/stop. Theoretical analysis, computer simulations, and experimental studies are performed on 5.5 kW variable speed water pump using the proposed control. The test results are provided and discussed to validate the effectiveness.

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Section: Motor Temperature Estimationmentioning

confidence: 99%

“…The first-order thermal model is usually used for motor thermal protection, fault diagnosis, and control due to its simplicity and ease of realization. It depends on the I 2 t principle and can be derived as [28,32]:…”

Section: Motor Temperature Estimationmentioning

confidence: 99%

Neural network based robust optimal energy control of pulse width modulation‐inverter fed motor driving pump

Ebrahim,

Badr,

Elgendy

et al. 2023

IET Electric Power Appl

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show abstract

“…8) Estimating permanent magnet motor temperature [228]- [230]. Readers are also kindly referred to a comprehensive review paper on this topic [231], especially the corresponding sections on supervised machine learning methods.…”

Section: Othersmentioning

confidence: 99%

Artificial Intelligence in Electric Machine Drives: Advances and Trends

Zhang¹

2021

Preprint

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This review paper systematically summarizes the existing literature on applying classical AI techniques and advanced deep learning algorithms to electric machine drives. It is anticipated that with the rapid progress in deep learning models and embedded hardware platforms, AI-based data-driven approaches will become increasingly popular for the automated high-performance control of electric machines. Additionally, this paper also provides some outlook towards promoting its widespread application in the industry, such as implementing advanced RL algorithms with good domain adaptation and transfer learning capabilities and deploying them onto low-cost SoC FPGA devices.

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“…[105][106][107] are about the identification of thermal-relevant parameters. [108,109] are other reviews about the thermal monitoring of electrical machines. [110][111][112][113][114] are some literatures for the researches referenced by this review.…”

Section: Research Trend For Extensive Monitoring For Pm Machinesmentioning

confidence: 99%

A Review of Thermal Monitoring Techniques for Radial Permanent Magnet Machines

Meng

Zhang

2021

Machines

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Permanent magnet machines are widely applied in motor drive systems. Therefore, condition monitoring of permanent magnet machines has great significance to assist maintenance. High temperatures are accountable for lots of typical malfunctions and faults, such as demagnetization of the permanent magnet (PM) and inter-turn short circuit of stator windings. Therefore, temperature monitoring of the PM and stator windings is essential for reliable operation. In this paper, an overview introducing and evaluating existing thermal monitoring methods is presented. First, the mechanism of thermal-caused failures for the PM and stator windings is introduced. Then, the design procedure and principles of existing temperature monitoring methods are introduced and summarized. Next, the evaluations and recommendations of application feasibility are demonstrated. Finally, the potential future challenges and opportunities for temperature monitoring of the PM and stator windings are discussed.

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Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges

Cited by 73 publications

References 124 publications

Neural network based robust optimal energy control of pulse width modulation‐inverter fed motor driving pump

Neural network based robust optimal energy control of pulse width modulation‐inverter fed motor driving pump

Artificial Intelligence in Electric Machine Drives: Advances and Trends

A Review of Thermal Monitoring Techniques for Radial Permanent Magnet Machines

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