Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesets

Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesets

Supermarkets suffer serious financial losses owing to problems with their refrigeration systems. Most refrigeration units have controllers which output "high-temperature" and similar alarms. We describe a system developed to predict alarm volumes from this data in advance, and compare evol...

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Bibliographische Detailangaben
Hauptverfasser: Taylor, D.W., Corne, D.W., Taylor, D.L., Harkness, J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Centralized control
Coolants
Heat pumps
Intelligent networks
Machinery
Monitoring
Neural networks
Refrigerants
Refrigeration
Temperature
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Beschreibung
Zusammenfassung:Supermarkets suffer serious financial losses owing to problems with their refrigeration systems. Most refrigeration units have controllers which output "high-temperature" and similar alarms. We describe a system developed to predict alarm volumes from this data in advance, and compare evolved and backpropagation-trained neural networks, and evolved rulesets for this task.
DOI:10.1109/CEC.2002.1004548