NEURAL NETWORK FAULT DETECTION SYSTEM AND ASSOCIATED METHODS
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United States of America Patent
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Issued Date -
Jun 28, 2012
app pub date -
Dec 21, 2011
filing date -
Dec 23, 2010
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Abandoned
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Abstract
A fault detection system for use with a solar hot water system may include a data acquisition module which may, in turn, include a plurality of sensors. Input data may include a sensed condition. The system may also include a neural network to receive the input data which may be a multi-layer hierarchical adaptive resonance theory (ART) neural network. The neural network may perform an analysis on the input data to determine existence of a fault or a condition indicative of a potential fault. The fault and the condition indicative of the potential fault are prioritized according to the analysis performed by the neural network. A warning output relating to the fault and the condition indicative of the potential fault is generated responsive to the analysis, and is displayed on the user interface.
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