Active fault detection using time and frequency diagnostic features for electrical machine

Keyphrases

• Electrical Machines 100%
• Fault Detection 100%
• Diagnostic Features 100%
• Automatic Fault Detection 100%
• Permanent Magnet Synchronous Motor 100%
• Prediction Accuracy 50%
• Loading Conditions 50%
• System Reliability 50%
• Highly Accurate 50%
• Machine Learning Algorithms 50%
• Fault Condition 50%
• Electric Motor 50%
• Result Prediction 50%
• Diagnostic Process 50%
• System Safety 50%
• Fault Detection Algorithm 50%
• Fault Type 50%
• Fault State 50%
• Motor State 50%
• Stator Current 50%
• Inter-turn Short Circuit Fault 50%
• Wide Speed Range 50%
• Wide Load Range 50%
• Ensemble Subspace Discriminant 50%

Engineering

• Electrical Machine 100%
• Extracted Feature 100%
• Permanent Magnet Synchronous Motor 100%
• Frequency Domain 50%
• Time Domain 50%
• Fault Condition 50%
• System Reliability 50%
• Accurate Prediction 50%
• System Safety 50%
• Machine Learning Algorithm 50%
• Load Condition 50%
• Circuit Faults 50%