Attention-Enhanced AGRU Framework for Induction Motor Incipient Fault Diagnosis in Electric Vehicles

Keyphrases

• Attention-enhanced 100%
• Incipient Fault Diagnosis 100%
• Induction Motor 100%
• Electric Vehicle 100%
• Gated Recurrent Unit Model 50%
• Induction Machine 50%
• Autoencoder 50%
• Bearing Fault 25%
• Early Fault Diagnosis 25%
• Electric Current 25%
• Environmental Impact 25%
• Diagnostic Framework 25%
• Fast Fourier Transform 25%
• Stator Winding Fault 25%
• Hybrid Modulation 25%
• Transportation System 25%
• Vibration Sensor 25%
• Direct Coupling 25%
• Performance Enhancement 25%
• Conventional Sensors 25%
• Loading Conditions 25%
• Stator Current Signal 25%
• Discrete Wavelet Decomposition 25%
• Inter-turn Short Circuit Fault 25%
• Maintenance Cost 25%
• Incipient Fault 25%
• Empirical Mode Decomposition 25%
• Fault Detection 25%
• Fault Severity Estimation 25%
• Fault Analysis 25%
• Benchmark Model 25%
• Fault Pattern 25%
• Constructor 25%

Engineering

• Fault Diagnosis 100%
• Electric Vehicle 100%
• Induction Motor 100%
• Recurrent 50%
• Induction Machine 50%
• Autoencoder 50%
• Applicability 25%
• Wavelet Decomposition 25%
• Pivotal Role 25%
• Current Signal 25%
• Circuit Faults 25%
• Fast Fourier Transform 25%
• Load Condition 25%
• Experimental Result 25%
• Empirical-Mode Decomposition 25%

Earth and Planetary Sciences

• Induction Motor 100%
• Wavelet 100%
• Fault detection 100%