1) matrix distinguishing sieve method
矩阵判别筛选法
2) matrix sieving method
矩阵筛选法
1.
The fault diagnosis based on the matrix mainly includes two steps:the first step is using the fault cause-symptom matrix sieving method to reduce the solution space;and the second is using the geometric distance distinguishing approach to determine the order of the possibility of fault cause.
采用故障原因-征兆矩阵实现了多征兆与多故障原因之间复杂关系的表征,提出了一种以故障原因-征兆矩阵为筛选对象的矩阵筛选法;同时,提出了一种应用此筛选法对故障系统进行初步诊断、用几何距离判别法进行精确诊断的故障诊断方法;并对基于此故障诊断方法的故障诊断专家系统的设计进行了研究。
3) judgment matrix
判别矩阵
1.
The defect source of actual system can be accurately judged by constructing the system defect judgment matrix and combining with PLC port state.
该方法通过构造系统的故障判别矩阵,并结合端口的状态,通过运算可以准确地判别系统的故障源。
4) judgement matrix
判别矩阵
1.
This method can judge the actual system defect source and decrease the software computation\|quantity by constructing the system defect judgement matrix and combining the PLC port state.
该方法通过构造系统的故障判别矩阵 ,并结合PLC端口的状态 ,可以通过运算准确地判别系统的故障源 ,降低监控软件的运算
5) discriminate matrix
判别矩阵
1.
An approach of discriminating solvable equations is obtained through definitions of discriminate matrix and discriminate vector, and then all the solutions of a fuzzy relation equation are acquired by using inner solutions of some sub-equations.
首先利用判别矩阵及判别向量的概念给出了关系方程解存在性的判别方法 。
6) sign function matrix
符号函数矩阵判别法
1.
15K and 101kPa as an example, the sign function matrix (SFM) method is employed to discriminate the variable interval of each stable univariant curve and the stability of each invariant point in the phase diagrams.
15K和 10 1kPa时的W1 W2 ,m1 m2 和X1 X2 相图为例 ,用符号函数矩阵判别法 (SFM法 ) ,对相图中各曲线的稳定区间及无变度点的稳定性进行了判别 ,所得结果均与实验事实相吻合 ,从而解决了此类相图的预测和计算机成图过程中的相关问题 。
补充资料：判别分析预测法(见发生量预测)
判别分析预测法(见发生量预测)
discriminatory analysis for forecast
判别分析预测法(diseriminatory analysisfor foreeast)又叫分辨分析法，是用判别函数预测害虫发生量的方法。其步骤为:将预报因子和预报量分为2级或多级，对预报因子进行线性组合，构成一个判别函数;先确定一个临界值作分辨指标，然后计算判别函数式中的系数，求出临界值;应用时，将预报因子的实查值代入判别函数式，求出预报值，将此值与临界值相比较，可预报害虫的发生量。 判别函数通式将预报因子的数据进行线性组合: 尸y~习c、·x、(1) 左=l式中夕为预报量;P为预报因子个数;x、(k二1，2，……，尸)为预报因子;c、为系数。二级判别法中的x分为2级，故(l)式为:〕一clxl+cZxZ(2)则y值亦分2级，可确定一个y。为分辨指标，当夕)yc时为A级，夕
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参考词条