Application of Adaptive Resonance Theory neural networks to monitor solar hot water systems and detect existing or developing faults

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Bibliographic Details
Published inSolar energy Vol. 86; no. 9; pp. 2418 - 2433
Main Authors HONGBO HE, CAUDELL, Thomas P, MENICUCCI, David F, MAMMOLI, Andrea A
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier 2012
Subjects
Applied sciences
Electrical engineering. Electrical power engineering
Energy
Equipments, installations and applications
Exact sciences and technology
Natural energy
Solar energy
Solar thermal conversion
Testing. Reliability. Quality control
Test bench
Energy consumption
Profitability
Solar hot water
Learning
Training
Electric power consumption
Monitoring
Damaging
Adaptive resonance theory
ART neural nets
Neural network
System reliability
Energy savings
Solar water heater
Operating conditions
Fault detection
Simulation
Hot water production
System simulation
Software
Reliability
Train
Comparative study
Defect detection
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ISSN:0038-092X
1471-1257