Induction motor’s rotor slot variation measurement using logistic regression

نویسندگان

چکیده

Rotor slots in induction motor expand due to thermal imbalance and create magnetic stress. Magnetic stress is a force that develops on the laminated surface of rotor curving or stretching flux. Traditional fault detection methods never measure rotor; significant problem frequently arises motor. proportional slot size variations rotor. High lead more flux damage stator, reducing their efficiency induce harmonics. In this paper, Average Slot Size Variation (ASSV) predicted during running condition through logistic regression. Logistic regression predicts ASSV by multimodal sensor signal sub-band energy values measures sizes from microscope images. Multimodal obtained various sensors, such as vibration, temperature, current Giant Magneto Resistance (GMR). Signal Over complete Rational-Dilation Wavelet Transform (ORaDWT). From experimental results, than 75% standard size, damaging stator. The accuracy prediction about 92%.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Influencies of the Slits on Magnetic Flux Density for Induction Motors Having Different Rotor Slot Geometries

There are many methods in literature for canalizing of circulating useful flux from stator core to rotor core without radial movements in induction machines. It is obvious to healing of useful flux with decreasing radial moved zig-zag flux and it increases the motor performance. Magnetic barrier, cutout and using of slits are the most used methods for improve the circulating useful flux in the ...

متن کامل

Explained variation for logistic regression.

Different measures of the proportion of variation in a dependent variable explained by covariates are reported by different standard programs for logistic regression. We review twelve measures that have been suggested or might be useful to measure explained variation in logistic regression models. The definitions and properties of these measures are discussed and their performance is compared i...

متن کامل

Feature Induction Using Boosting and Logistic Regression on fMRI Images

Early efforts in fMRI classification were limited in that individual voxels were used as features (e.g. [1]), yet voxels divide images into regions that do not directly correspond to underlying neural activity. A growing trend is to perform spatial smoothing that captures the correlation between nearby voxels. Unfortunately, the optimal spatial resolution for this smoothing is unknown and likel...

متن کامل

Virtual Instruments for Detecting Rotor Faults in Induction Motors

Rotating electrical machines play an important role in the world’s industrial life. Hence there is a strong demand on their reliable and safe operation. Their faults and failures can lead to excessive downtimes and generate enormous costs in reduced output, emergency maintenance and lost revenues. Therefore the fault detection methods of electrical machines are of real interest. For the rotor f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Automatika

سال: 2022

ISSN: ['0005-1144', '1848-3380']

DOI: https://doi.org/10.1080/00051144.2022.2031541