An evaluating study of using thermal imaging and convolutional neural network for fault diagnosis of reciprocating compressors

Keyphrases

• Reciprocating Compressor 100%
• Convolutional Neural Network 100%
• Fault Diagnosis 100%
• Thermal Imaging 100%
• Mechanical Device 33%
• Temperature Distribution 33%
• Industrial Application 33%
• Classification Accuracy 33%
• Operating Conditions 33%
• Infrared Camera 33%
• Position Information 33%
• Compressor System 33%
• Thermal Performance 33%
• Thermal Radiation 33%
• Image Position 33%
• Function Failure 33%
• Thermal Image 33%
• Motor Faults 33%
• Classification Results 33%
• Temperature Field Distribution 33%
• Performance Failure 33%
• Temperature Environment 33%
• Catastrophic Collapse 33%
• Radiation Signals 33%
• Full Information 33%
• Infrared Thermography Technology 33%
• Mechanical Function 33%
• Faulty Operation 33%

Engineering

• Reciprocating Compressors 100%
• Fault Diagnosis 100%
• Convolutional Neural Network 100%
• Temperature Distribution 66%
• Industrial Applications 33%
• Field Distribution 33%
• Classification Accuracy 33%
• Infrared Camera 33%
• Motor Function 33%
• Position Information 33%
• Thermal Performance 33%
• Thermal Radiation 33%
• Infrared Thermography 33%
• Failure (Mechanical) 33%
• Environment Temperature 33%
• Failure Function 33%
• Performance Failure 33%

Chemical Engineering

• Neural Network 100%
• Temperature Distribution 100%