A Maximum Entropy Based Approach to Fault Diagnosis Using Discrete and Continuous Features

Keyphrases

• Maximum Entropy 100%
• Fault Diagnosis 100%
• Discrete Features 100%
• Continuous Features 100%
• Entropy-based Approach 100%
• Dynamic Model 50%
• System Parameters 50%
• False Alarm 50%
• System Variables 50%
• Maximum Entropy Method 50%
• Model Uncertainty 50%
• Misclassification 50%
• Inference Engine 50%
• Noise Measurement 50%
• Benchmark System 50%
• Hybrid Inference 50%
• Fault Information 50%
• Residual Response 50%
• Residual Vector 50%
• Generalized Structure 50%
• Better Performance 50%
• Support Vector Classifier 50%
• Diagnostic Decision 50%

Engineering

• Maximum Entropy 100%
• Fault Diagnosis 100%
• Simulation Result 66%
• Dynamic Models 33%
• Misclassification 33%
• False Alarm 33%
• Entropy Method 33%
• Measurement Noise 33%
• Estimated Value 33%
• Support Vector Machine 33%

Chemical Engineering

• Support Vector Machine 100%
• Maximum Entropy Method 100%