Considerations for improving the non-intrusive efficiency estimation of induction machines using the air gap torque method

Herndler, B.; Barendse, Paul; Khan, Azeem

doi:10.1109/iemdc.2011.5994834

Cited by 16 publications

(15 citation statements)

References 9 publications

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“…This method is based on the detection of the low-frequency eccentricity components that modulate the fundamental frequency, and the only required motor parameter is the number of poles [43]. By analyzing a single phase of the current signal and applying fast Fourier transform and signal processing techniques, the current signature is obtained and a search algorithm is used to detect the eccentricity component of the right side band, which is given by [45] f e+ = f 1 + f r (16) where f e+ is the low frequency eccentricity component of the right side band, f 1 is the fundamental frequency, and f r is the rotor rotation frequency.…”

Section: Induction Motor Rotor Speed Estimationmentioning

confidence: 99%

“…The line voltages and line currents can be easily obtained from the condition monitoring system, bringing no additional costs in terms of data collection. However, the stator resistance and the mechanical losses are experimentally obtained parameters, which, in turn, are crucial to the good accuracy of this method [16].…”

mentioning

confidence: 99%

“…This value can be measured through a standstill test, which is not appropriate for in-service applications, and thus it should be estimated. The estimation methods can be basically divided into three categories: 1) signal injection-based methods [15], [16], [19], [25]; 2) adaptive control-based techniques [26]- [30]; and 3) optimization techniques [2], [31]- [33].…”

mentioning

confidence: 99%

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Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

Salomon

Sant’Ana

Silva

et al. 2015

IEEE Trans. Instrum. Meas.

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This paper presents an air-gap torque (AGT)-based method for efficiency estimation of induction motors. A new concept of stator resistance that includes the mechanical losses effect is proposed. This new stator resistance is estimated through a particle swarm optimization approach based on the stator flux equations and minimization of torque error at the rated operation point. Then, the obtained stator resistance is used in the AGT equations to estimate the shaft torque and then the efficiency. Moreover, the rotor speed is estimated using induction motor current signature analysis. Thus, the proposed methodology for induction motor efficiency estimation relies only on line currents, line voltages, and nameplate data, being appropriate for in-service applications. Finally, the simulation and experimental results are presented to validate the proposed method at different load conditions.

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Section: Induction Motor Rotor Speed Estimationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

Salomon

Sant’Ana

Silva

et al. 2015

IEEE Trans. Instrum. Meas.

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“…As it is shown in [24] and [25], the influence coefficient of all the parameters in (16) is almost equal to 1 for direct efficiency measurement technique. This means that the error of each instrument has the same influence on the final error of the measured efficiency.…”

Section: Measurement Error Analysismentioning

confidence: 86%

“…The first one is the methodological error, the second one is the human error, and the third one is caused by the instrumental error. Instrumental error is the most dominant type of the error for the efficiency estimation problem, and it can be calculated with three common error evaluation techniques that are presented as follows [24], [25]: 1) maximum error estimation (MEE); 2) worst case error estimation (WCEE); 3) realistic error estimation (REE). The MEE technique gives the maximum possible error, and it is defined with the following equation:…”

Section: Measurement Error Analysismentioning

confidence: 99%

An Algorithm for Nonintrusive In Situ Efficiency Estimation of Induction Machines Operating With Unbalanced Supply Conditions

Siraki

Gajjar

Khan

et al. 2012

IEEE Trans. on Ind. Applicat.

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The development of an in situ efficiency estimation technique is a challenging task where the lowest level of intrusion and the highest possible accuracy are required. In this paper, a new algorithm is discussed for the in situ efficiency estimation of induction machines under unbalanced power supplies. Prior work in the literature has concentrated on balanced supplies. In addition, to have a nonintrusive speed measurement, a specific adaptive nonlinear algorithm is applied for the extraction of the speed-dependent current harmonics from the measured current signal. A similar algorithm is used to extract the symmetrical components from the current and voltage signals to handle the unbalanced supply conditions. Experimental results with two different machines are used to prove the effectiveness and generality of the proposed method. Measurement error analysis, as well as repeatability tests, has been done to determine the credibility of the proposed method.Index Terms-Error analysis, evolutionary algorithm, induction motor, in situ efficiency estimation, nonlinear adaptive filter, repeatability test, unbalanced supply.

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Load extrapolation computational algorithms for energy efficiency measurement testing of high‐power and high‐voltage induction motors

Yin

Lan

Xiong³

2019

IEEJ Transactions Elec Engng

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This paper deals with load extrapolation methods and algorithms for the estimation of the energy efficiency of induction motors, starting from the electrical data generally available after parameter identification. The main aim of this paper is to help the readers move from the theoretical analysis to the experimental verification, which is suitable to be included in its own testing. For this reason, step-by-step algorithms are included in this paper. The first part deals with the determination of energy efficiency based on an original load extrapolation. Finally, experimental verification of the high-power and high-voltage induction motors is provided. Comparison between the values of the in-out method and load extrapolation method confirms the validity of the proposed algorithms. Compared to the direct in-out method, the error of the load extrapolation proposed in this paper is less than 1%.The load extrapolation method is mainly used for the high-voltage and high-power asynchronous motor. The high-voltage and high-power motor can be used to drive a low-power motor to achieve coaxial twin trawling in the absence of a suitable power supply and matched load. The energy efficiency of a high-power motor under different loads are measured and estimated using a mathematical fitting method. The estimated energy efficiency curves in the whole load range can be used to evaluate the high-power and high-voltage induction motor.

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Considerations for improving the non-intrusive efficiency estimation of induction machines using the air gap torque method

Cited by 16 publications

References 9 publications

Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

Induction Motor Efficiency Evaluation Using a New Concept of Stator Resistance

An Algorithm for Nonintrusive In Situ Efficiency Estimation of Induction Machines Operating With Unbalanced Supply Conditions

Load extrapolation computational algorithms for energy efficiency measurement testing of high‐power and high‐voltage induction motors

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