在分析空间电源系统电路结构和故障特征基础上，建立起基于模型在线故障诊断系统。

After analyzing the circuit structure and fault characteristics of the aircraft power system, the authors built an on-line model-based fault diagnosis system.

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在线性空间中使用规范变量分析(CVA)来辨识状态空间模型，从数据中提取状态信息。

Canonical variate analysis (CVA) is applied to identify a state space model in linear space and state information is extracted.

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实验结果表明，这种实现能有效地对用户访问日志进行聚类，并能满足服务器预取机制在线分析的时间、空间要求。

Experimental results show that the implementation can cluster the user access logs effectively, and the temporal and special efficiency can meet the on-the-fly need of Web server pre-fetching.

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