Fault classification of reciprocating compressor based on Neural Networks and Support Vector Machines

Keyphrases

• Fault Classification 100%
• Reciprocating Compressor 100%
• Neural Network 100%
• Support Vector Machine 100%
• Vibration Signal 66%
• Feature Extraction 33%
• Diagnostic Features 33%
• Industrial Systems 33%
• Monitoring Method 33%
• Operating Conditions 33%
• Vibration Monitoring 33%
• Artificial Neural Network 33%
• Severe Damage 33%
• High Complexity 33%
• Classification Accuracy 33%
• Fault Classifier 33%
• Multi-class 33%
• Performance Accuracy 33%
• Binary Class 33%
• Impact Source 33%
• Signal Classifier 33%
• Single Fault 33%
• Additional Energy 33%
• Well Rate 33%

Engineering

• Reciprocating Compressors 100%
• Support Vector Machine 100%
• Feature Extraction 33%
• Monitoring Technique 33%
• Vibration Condition Monitoring 33%
• Artificial Neural Network 33%
• Severe Damage 33%
• Major Part 33%
• Industrial System 33%