A Nonintrusive Efficiency Estimation Method for In-Service Motor Testing using a Modified Induction Motor Equivalent Circuit

2006 ◽  
Author(s):  
Bin Lu ◽  
T.G. Habetler ◽  
R.G. Harley
Keyword(s):  
Equivalent Circuit ◽  
Induction Motor ◽  
Estimation Method ◽  
Motor Testing ◽  
Efficiency Estimation

scholarly journals Nonintrusive Method for Induction Motor Equivalent Circuit Parameter Estimation using Chicken Swarm Optimization (CSO) Algorithm

2021 ◽  
Vol 18 (1) ◽  
pp. 21-29
Author(s):  
M. Aminu ◽  
M. Abana ◽  
S.W. Pallam ◽  
P.K. Ainah
Keyword(s):  
Parameter Estimation ◽  
Equivalent Circuit ◽  
Induction Motor ◽  
Estimation Method ◽  
Equivalent Circuit Model ◽  
Test Method ◽  
Equivalent Circuits ◽  
Circuit Parameter ◽  
Swarm Optimization ◽  
Chicken Swarm Optimization

This paper presents a nonintrusive method for estimating the parameters of an Induction Motor (IM) without the need for the conventional no-load and locked rotor tests. The method is based on a relatively new swarm-based algorithm called the Chicken Swarm Optimization (CSO). Two different equivalent circuits implementations have been considered for the parameter estimation scheme (one with parallel and the other with series magnetization circuit). The proposed parameter estimation method was validated experimentally on a standard 7.5 kW induction motor and the results were compared to those obtained using the IEEE Std. 112 reduced voltage impedance test method 3. The proposed CSO optimization method gave accurate estimates of the IM equivalent circuit parameters with maximum absolute errors of 5.4618% and 0.9285% for the parallel and series equivalent circuits representations respectively when compared to the IEEE Std. 112 results. However, standard deviation results in terms of the magnetization branch parameters, suggest that the series equivalent circuit model gives more repeatable results when compared to the parallel equivalent circuit. Keywords: Induction motor, Chicken Swarm Optimization, parameter estimation, equivalent circuit, objective function

Nonintrusive Efficiency Estimation of Induction Motors Based on an Adaptive Extended Kalman Filter

2013 ◽  
Vol 446-447 ◽  
pp. 698-703
Author(s):  
Hong Xia Yu ◽  
Chuang Li
Keyword(s):  
Induction Motor ◽  
Induction Motors ◽  
Estimation Method ◽  
Covariance Matrices ◽  
The State ◽  
Initial Value ◽  
Load Torque ◽  
Efficiency Estimation ◽  
Noise Covariance ◽  
Adaptive Extended Kalman Filter

In this paper, a new nonintrusive efficiency estimation method without using stray loss approximation value was presented, the efficiency of induction motor was computed using estimated value of speed and load torque by AEKF. In AEKF, the speed and load torque as the state of system are estimated, the noise covariance matrices are estimated adaptively while the state of induction motor system are estimated to overcome the defect that estimation results are affected by the selected noise covariance matrices in EKF, then the estimated speed and the load torque are used to achieve noninvasive efficiency estimation. Experimental results demonstrate that the efficiency estimation results of this method has higher accuracy and are not affected by initial value of noises covariance matrices.

Estimation of the Automated Video Control Device’s Target Functions Performance Probability

2021 ◽  
Vol 26 (3-4) ◽  
pp. 291-301
Author(s):  
N.V. Stepanov ◽  
Keyword(s):  
Estimation Method ◽  
Target Function ◽  
Video Camera ◽  
Optimal Receiver ◽  
Efficiency Estimation ◽  
Use Efficiency ◽  
Target Environment ◽  
Receiver Model ◽  
Video Control

Operating quality of automated video control systems depends on optical specifications of video camera and peculiar features of video algorithm. Specified target function performance probability can serve as criterion of automated video control use efficiency. In this work, a new performance efficiency estimation method for automated equipment of target environment video control is suggested: to estimate the probability of target functions’ (object detection, capture, and auto tracking) performance. Theoretical prediction of target functions performance probability was built upon Johnson’s criterion and the use of optimal receiver model. The results of suggested method’s experimental verification have shown that target detection occurred when signal/noise ratio level was above 6. This level can be regarded as low value to ensure that object is detected with probability 0.9.

Estimation of induction motor equivalent circuit parameters from nameplate data

2012 ◽  
Author(s):  
Keun Lee ◽  
Stephen Frank ◽  
Pankaj K. Sen ◽  
Luigi Gentile Polese ◽  
Mahmoud Alahmad ◽  
...  
Keyword(s):  
Equivalent Circuit ◽  
Induction Motor ◽  
Equivalent Circuit Parameters
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