Application of minimum entropy deconvolution in diagnosis of reciprocating compressor faults based on airborne acoustic analysis

Keyphrases

• Airborne Sound 100%
• Acoustic Analysis 100%
• Reciprocating Compressor 100%
• Minimum Entropy Deconvolution 100%
• Acoustic Signal 66%
• Intercooler 66%
• Compound Fault 66%
• Filtered Signal 66%
• Transient Component 66%
• Condition Monitoring 33%
• Harmonic Components 33%
• Nonlinearity 33%
• Root Mean Square 33%
• Background Noise 33%
• Discharge Valve 33%
• Valve Leakage 33%
• Blockage 33%
• Flutter 33%
• Periodic Component 33%
• Transient Response 33%
• Operating Pressure 33%
• Structural Resonance 33%
• Acoustic Resonance 33%
• Periodic Impulses 33%
• Entropy Value 33%
• Effective Conditions 33%
• Deconvolution Method 33%
• Mean Entropy 33%

Engineering

• Reciprocating Compressors 100%
• Deconvolution 100%
• Acoustic Signal 66%
• Intercooler 66%
• Characteristic Feature 66%
• Filtered Signal 66%
• Condition Monitoring 33%
• Harmonic Component 33%
• Nonlinearity 33%
• Limitations 33%
• Monitoring Technique 33%
• Discharge Valve 33%
• Root Mean Square 33%
• Transient Analysis 33%
• Operating Pressure 33%
• Common Method 33%
• Acoustic Resonance 33%