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Smart asset management system with health degradation identification and remaining useful lifetime estimation in electrical distribution system
Khalil, Shady
(PI)
School of Physics, Engineering & Computer Science
Project
:
Research
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Engineering & Materials Science
Health
100%
Degradation
94%
Electric equipment
80%
Asset management
71%
Predictive maintenance
49%
Aging of materials
46%
Smart power grids
37%
Time-to-failure
23%
Machine components
23%
History
22%
Monitoring
21%
Condition monitoring
20%
Dust
19%
Reinforcement learning
19%
Machinery
18%
Fault detection
18%
Outages
18%
Kalman filters
17%
Industrial plants
17%
Big data
17%
Atmospheric humidity
17%
Sustainable development
17%
Profitability
17%
Industry
16%
Life cycle
16%
Reinforcement
15%
Inspection
14%
Statistics
14%
Machine learning
14%
Defects
13%
Uncertainty
12%
Control systems
12%
Temperature
7%
Costs
7%