Combining Canonical Variate Analysis, Probability Approach and Support Vector Regression for Failure Time Prediction

Engineering

• Acquired Data 25%
• Degradation Time 25%
• Dimensionality 25%
• Duty Cycle 25%
• Failure Rate 50%
• Failure Time 100%
• Flow Condition 25%
• One Dimensional 50%
• Performance Degradation 25%
• Performance Deterioration 25%
• Performance Failure 50%
• Performance Measure ψ 25%
• Petroleum Industry 25%
• Rate Vector 25%
• Real Industrial Process 25%
• Reciprocating Compressors 100%
• Remaining Useful Life 50%
• Rotating Equipment 25%
• Support Vector Machine 100%

Chemical Engineering

• Support Vector Machine 100%