Semi-supervised constrained hidden markov model using multiple sensors for remaining useful life prediction and optimal predictive maintenance

Engineering & Materials Science

• Predictive maintenance 100%
• Hidden Markov models 79%
• Sensors 40%
• Markov processes 27%
• Systems engineering 25%
• NASA 23%
• Decision making 18%
• Degradation 18%
• Engines 16%
• Costs 9%

Medicine & Life Sciences

• Maintenance 55%
• United States National Aeronautics and Space Administration 37%
• Markov Chains 36%
• Decision Making 21%
• Costs and Cost Analysis 16%