Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score

Keyphrases

• Complex Assets 50%
• Conservative Approach 50%
• Corrective 50%
• Data-driven Prognostics 100%
• Distance to Normality 50%
• Fuzzy Modeling 100%
• Fuzzy Sets 50%
• High Specificity 50%
• Learning Framework 50%
• Local Outlier Factor 50%
• Marine Diesel Engine 50%
• Membership Degree 50%
• Mode Characterization 50%
• Monitoring Sensor 50%
• New Monitoring 50%
• Operational Faults 50%
• Real Faults 50%

Computer Science

• Anomaly Detection 50%
• Early Detection 50%
• Experimental Result 50%
• Fuzzy Modeling 100%
• Fuzzy Set 50%
• K-Means Clustering 100%
• Knowledge Management 50%
• Learning Framework 50%
• Local Outlier Factor 50%
• Machine Learning Approach 50%
• Membership Degree 50%
• Negative Impact 50%
• Operational Behavior 50%
• Outlier Detection 50%
• Preventive Maintenance 50%