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用小波分析法分离变风量系统流量传感器故障 被引量:3

Flow Sensor Fault Isolation in VAV System Using Wavelet Analysis
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摘要 阐述了主成分分析法对变风量(VAV)系统流量传感器故障识别失效的原因,给出了小波分析法的特点及其原理,着重描述了如何运用小波分析分离VAV系统中的共线性流量传感器故障。实例研究结果表明:小波分析能够很好地识别共线性的流量传感器故障。 Reasons are present why principal component analysis approach is invalid for isolation the flow meter faults of supply and return air in VAV systems. The character and principle of wavelet analysis are introduced, and how to use wavelet analysis to identify collinear flow meter faults in VAV system is mainly described. Examples demonstrate that wavelet analysis can isolate the faults of supply and return air flow meters in VAV systems very well.
出处 《建筑热能通风空调》 2005年第4期52-55,90,共5页 Building Energy & Environment
关键词 故障共线性 故障分离(识别) 主成分分析 小波分析 空气流量传感器 变风量系统 小波分析法 流量传感器 传感器故障 分离 fault collinearity, fault identification (isolation), principal component analysis, wavelet analysis, air flow meter, VAV system
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