A Hybrid AI Approach for Fault Detection in Induction Motors Under Dynamic Speed and Load Operations

<p dir="ltr">Faults in an Induction Motor (IM) can lead to unexpected downtime, resulting in considerable economic and productivity losses. From existing literature, conventional fault diagnosis approaches in an IM struggle to reliably identify fault patterns at different speeds, par...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Muhammad Irfan Ishaq (22564652) (author)
مؤلفون آخرون:	Muhammad Adnan (678952) (author), Muhammad Ali Akbar (16875915) (author), Amine Bermak (1895947) (author), Nimra Saeed (22564655) (author), Maaz Ansar (22564658) (author)
منشور في:	2025
الموضوعات:	Engineering Electrical engineering Manufacturing engineering Information and computing sciences Machine learning Induction motor fault diagnosis acoustic signals vibrational signals CNN-LSTM electro-mechanical faults Accuracy Convolutional neural networks Motors Transforms Induction motors Feature extraction Vibrations Rotors Continuous wavelet transforms
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

A Hybrid AI Approach for Fault Detection in Induction Motors Under Dynamic Speed and Load Operations

مواد مشابهة