发明名称 |
NEURAL NETWORK FAULT DETECTION SYSTEM AND ASSOCIATED METHODS |
摘要 |
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. |
申请公布号 |
US2012166363(A1) |
申请公布日期 |
2012.06.28 |
申请号 |
US201113333511 |
申请日期 |
2011.12.21 |
申请人 |
HE HONGBO;MAMMOLI ANDREA;CAUDELL THOMAS |
发明人 |
HE HONGBO;MAMMOLI ANDREA;CAUDELL THOMAS |
分类号 |
G06N7/04;G06F17/00;G06N3/02 |
主分类号 |
G06N7/04 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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