MPCA

A new method of on-line fault monitoring based on nonlinear MPCA

一种新的非线性多向主元分析在线故障监测方法

Improved MPCA approach with applications in fault monitoring in batch process

改进MPCA方法及其在批过程故障监测中的应用

Multi-Model MPCA Method and Its Application In the PVC Industrial Process

多模型MPCA方法及在聚氯乙烯生产过程中应用

MPCA participates in every international film market around the word .

MPCA参加了身边的每一字国际电影市场。

In order to keep early historical information , the adaptive MPCA method is improved .

为了保留早期历史信息，对AdaptiveMPCA方法进行了改进。

Application of MPCA in Fault Diagnosis of Batch Process

MPCA在间歇反应过程故障诊断中的应用

Online monitoring and fault diagnosis software for batch process based on minimum window MPCA

基于最小窗口MPCA的间歇过程实时监视和故障诊断软件

Adaptive Dynamic Nonlinear MPCA Modeling and Online Monitoring for Sequence Batch Reactor Process

SBR过程自适应动态非线性MPCA建模及在线监视

Online MPCA Monitoring Approach Based on Generalized Correlation Coefficients

基于广义相关系数法的MPCA在线监控方法

Monitoring and Fault Diagnosis of Batch Process Based on MPCA and DTW

基于MPCA与DTW的间歇反应过程的性能监视及故障诊断

Batch process monitoring and fault detection based on an improved MPCA and DTW

基于改进的MPCA与DTW方法及其在批过程故障诊断中的应用

Analysis of Channel Parameter on MPCA Propagation Properties

通道参数对MPCA传播特性的影响分析

Linear MPCA may not be efficient in compressing and extracting nonlinear process data ;

MPCA线性方法不能充分有效压缩和抽取非线性过程信息；

Multi-model MPCA with Applications in the Monitoring and Fault Diagnosis of Multivariable Control System

多模型MPCA方法在多变量间歇过程故障监测与诊断中的应用

Step-by-Step Adaptive MPCA Applied to an Industrial Batch Process

步进MPCA及其在间歇过程监控中的应用

Slide-model MPCA approach with applications in fault detecting of multivariable nonlinear process

滑动模型MPCA在非线性系统故障监测与诊断中的应用

The MPCA model can detect unknown faults .

因此，MPCA模型具有检测未知故障的能力。

In view of characteristics of fermentation process , some improvements of tradition MPCA methods have been made at different degree .

本文针对发酵过程的特点，对传统多向主元分析方法应用于发酵过程监控时存在的不足进行了不同程度的改进。

This paper presents monitoring and fault diagnosis of a PVC batch process using multi way principal component analysis ( MPCA ) .

将多方向主元分析（MPCA）理论应用到一个实际的PVC间歇反应过程的性能监测与故障诊断中。

According to requirements of Multi-marker Propagation Clustering Algorithm ( MPCA ), a suitable data preprocessing for MPCA is constructed .

根据多标记传播聚类算法的需要，构造了一种适用于该算法的数据预处理过程。

If a single linear MPCA model is used to characterize the entire batch process , PC number may increase and some faults may not be identified .

如果对整个间歇过程只用一个线性化模型来处理，不仅会使主元个数大大增加，而且有许多故障无法检测到。

The advantage of proposed method over the traditional MPCA is demonstrated on the industrial streptomycin fermentation process , and the smaller detection delay is also obtained .

通过对实际工业链霉素发酵过程数据的分析，表明文中所提出的方法与传统的多向主元分析方法相比，能够更早地发现故障，获得更好的监控性能。

The proposed method was applied to 0n-line monitoring fed-batch penicillin production , and the results show the advantages of the proposed method in comparison to conventional MPCA .

将该方法应用于青霉素补料分批发酵过程的实时监测中，结果表明该方法比传统的MPCA方法具有更可靠的监测性能。

The approach of adaptive MPCA to the new batch with the recursive Dynamic Time Warping algorithm is presented , and the simulation results prove the effectiveness of the approach .

因此，提出了用递推式动态时间错位（DTW）算法，对每一个新批次的情况自适应地确定该批次的MPCA模型，仿真结果证明该方法有效。

Multiway Principal Component Analysis ( MPCA ) is an effective method for batch process monitoring and fault diagnosis , but it could not monitor the nonlinear and dynamic system efficiently .

多向主元分析（MPCA）是应用于间歇生产过程故障监测与诊断中的一种较为有效的方法，但由于其自身的线性化特点，使之在复杂的非线性动态系统处理中显得力不从心。

A robust Multiway Principal Component Analysis ( MPCA ) is developed to construct monitoring models when outliers are present in historical data . LIDAR WIND-SPEED REAL-TIME MEASUREMENT SYSTEM

提出了一种鲁棒多向主元分析（MPCA）算法，用于解决历史数据中存在离群点时的间歇过程统计性能建模问题。Lidar多向风速实时遥测系统

In order to reduce the variations of the product quality , multivariate statistical process control methods based on Multi-way Principal Component Analysis ( MPCA ) are used for on-line batch process monitoring .

为提高间歇生产的可重复性，提高批次之间产品的一致性，多向主元分析法（MPCA）广泛应用于间歇生产过程的监控。

According to the features of multistage operations , batch process can be divided into a series of sub-process , which is built a local MPCA model for each stage .

结合间歇产生过程对象特点，将整个操作周期划分成多个子过程，分别建立多个子过程MPCA模型。

In this paper , according to the background of related technologies of UAV , a mobility prediction clustering algorithm ( MPCA ) relying on the attributes of UAV is proposed .

本文通过对无人机相关技术背景的研究，提出针对无人机特点的移动预测分簇算法（MPCA）。

Applications on DuPont batch polymerization process reveal the efficiency of robust MPCA . ( 3 ) A new step-by-step batch SPMC approach is proposed for the monitoring of multi-stage batch processes .

对Dupont间歇聚合反应过程的监控与故障诊断应用研究表明了鲁棒MPCA算法的有效性。（3）提出了步进MPCA算法用于多阶段间歇过程的性能监控。