The variable weighting finds out each weight vector for all faults. The summed fault data weighted by the corresponding weight vectors involve morefault characteristic information than the original fault data.
通过变量加权获得每一个故障的加权向量后,对所有故障数据类分别进行加权。
参考来源 - 基于统计学方法的自适应过程监控与故障诊断·2,447,543篇论文数据，部分数据来源于NoteExpress
本文构造加权向量1 -范数型李雅普·诺夫函数。
Lyapunov's function with weighted vector 1-norm form is constructed.
采用了基于加权向量空间法的信息过滤技术，对成员搜索引擎返回的结果进行过滤。
Make use of the technology of information filtering based on TFIDF to filter the results returned by the searching engine.
通过构造灰色关联度判断矩阵，确定加权向量、灰色关联投影角余弦及相关模数、计算投影值等步骤建立评估模型。
Through establishing grey correlative judgment matrix, the weighting vectors, projected angle cosine and corresponding module were confirmed and projected values was calculated.
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