Prediction of Rotor Slot Size Variations in Induction Motor Using Polynomial Chirplet Transform and Regression Algorithms
نویسندگان
چکیده
For constant monitoring of rotor slot in induction motor, average variation (ARSV) prediction is proposed. The slots expand due to thermal stress and high intensity magnetic flux. flux with created lamination sheet, because stretching curving surface exhibits over current which turn generates heat transfers the into surface. stress-based size never monitored or measured before. In proposed ARSV method, multimodal sensor signals such as Giant magnetoresistance, temperature, current, vibration voltage acquire temperature rotor. acquired are analyzed through polynomial chirplet transform obtain energy band values signal. microscopic camera image-based used for prediction. computed using regression (PR) method. From experimental results, it observed that greater than 5% from normal leads extreme damage motor vibration, sparking harmonics. accuracy about 94.6% when compared manual measurement Moreover, avoids major faults, namely eccentricity, overload, under voltage, unbalance induced slot, crack burn.
منابع مشابه
Estimation of Induction Motor Speed by EKF In Stationary Frame and Use of Rotor Flux and Study of Parameter Variations
متن کامل
Estimation of Induction Motor Speed by EKF In Stationary Frame and Use of Rotor Flux and Study of Parameter Variations
متن کامل
Detection of broken rotor bars in three-phase squirrel-cage induction motor using fast Fourier transform
Induction motors have become the most used electrical motors in the world. They are rugged, easy to maintain, low in cost and good in performance. Those benefits have made induction motors very popular among users. During their exploitation period induction motors are exposed to various stresses that can become fatal to their performance and bring with them huge economic losses and safety risks...
متن کاملestimation of induction motor speed by ekf in stationary frame and use of rotor flux and study of parameter variations
0
متن کاملOptimal Rotor Fault Detection in Induction Motor Using Particle-Swarm Optimization Optimized Neural Network
This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...
متن کاملذخیره 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: Arabian journal for science and engineering
سال: 2022
ISSN: ['2191-4281', '2193-567X']
DOI: https://doi.org/10.1007/s13369-022-07264-9