Current Data Fusion through Kalman Filtering for Fault Detection and Sensor Validation of an Electric Motor

Keyphrases

• Fault Detection 100%
• Electric Motor 100%
• Kalman Filter 100%
• Faulty Sensors 100%
• Sensor Validation 100%
• Noise Measurement 66%
• Process Noise 66%
• Data Fusion Method 33%
• Statistical Properties 33%
• Induction Motor 33%
• Distinctive Features 33%
• Spectral Properties 33%
• Condition Monitoring 33%
• Current Signal 33%
• Multi-sensor multi-target Tracking 33%
• Fault Source 33%
• Process Measurement 33%
• Kalman Gain 33%
• Artificial Data 33%
• Original Signals 33%

Engineering

• Measurement Noise 100%
• Process Noise 100%
• Electric Motor 100%
• Real Data 50%
• Statistical Property 50%
• Induction Motor 50%
• Condition Monitoring 50%
• Current Signal 50%
• Process Measurement 50%