Feature selection by merging sequential bidirectional search into relevance vector machine in condition monitoring

Keyphrases

• Relevance Vector Machine 100%
• Feature Selection 100%
• Condition Monitoring 100%
• Bidirectional Search 100%
• Feature Selection Methods 66%
• Embedding Method 66%
• Fault Classification 33%
• Parameter Tuning 33%
• Dimensionality Reduction 33%
• Condition-dependent 33%
• Machinery Fault Diagnosis 33%
• Search Algorithm 33%
• High Efficiency 33%
• Number of Sensors 33%
• Frequency Features 33%
• Fault Detection 33%
• Effective Solutions 33%
• Scale Parameter 33%
• Fault Diagnosis 33%
• Large-scale Data 33%
• Classification Methods 33%
• Feature Extraction Methods 33%
• Condition Monitoring Data 33%
• Filter-pack Method 33%
• Theoretical Interpretation 33%
• Spectra Data 33%
• Embedded Feature Selection Methods 33%
• Theoretical Extension 33%
• Rolling Bearing 33%
• Frequency Component 33%
• Frequency Spectrum 33%
• Kernel Function 33%
• Increasing Trends 33%

Engineering

• Condition Monitoring 100%
• Feature Extraction 100%
• Selection Method 60%
• Engineering 40%
• Classification Method 20%
• Scale Parameter 20%
• Fault Diagnosis 20%
• Collect Data 20%
• Dimensionality 20%
• Dimensionality Reduction Technique 20%
• Monitoring Data 20%
• Rolling Bearings 20%
• Main Type 20%
• Effective Solution 20%
• Frequency Component 20%
• Search Algorithm 20%
• Fault Detection and Diagnosis 20%
• Isolation Method 20%
• Frequency Spectrum 20%

Chemical Engineering

• Condition Monitoring 100%
• Feature Extraction 100%
• Pattern Recognition 20%