Fault detection in rotating machinery using kernel-based probability density estimation

Keyphrases

• Abnormal Conditions 33%
• Abnormal State 33%
• AC Motors 33%
• Data Preprocessing 33%
• Electric Motor 33%
• Estimation Method 33%
• Fault Detection 100%
• Fault State 33%
• Kernel Methods 66%
• Kernel-based 100%
• Normal Operating Conditions 33%
• Operating Conditions 66%
• Phase Imbalance 33%
• Probability Density Estimation 100%
• Probability Density Function Model 100%
• Response Data 66%
• Rotating Machinery 100%
• Simulated Dataset 33%
• Three-level 33%
• Vibration Response 33%

Engineering

• AC Motor 33%
• Clear Indication 33%
• Data Preprocessing 33%
• Electric Motor 33%
• Engineering 33%
• Fault Detection 100%
• Illustrates 33%
• Measured Data 33%
• Normal Operating Condition 33%
• Phase Imbalance 33%
• Potential Application 33%
• Probability Density 100%
• Probability Density Function 100%
• Rotating Machinery 100%
• Simulated Data 33%