Identification of process disturbance using SPC/EPC and neural networks
AbstractSince solely using statistical process control (SPC) and engineering process control (EPC) cannot optimally control the manufacturing process, lots of studies have been devoted to the...
View ArticleA Neural Network-Based Approach to Identifying Out-of-Control Variables for...
AbstractIn practice, many process monitoring and control scenarios involve several related variables. However one of the major problems that arise in using a multivariate control chart is the...
View ArticleOn Supporting Cross-Platform Statistical Data Analysis Using JADE
AbstractData collected by information systems for decision support in a modern business is very often distributed over different databases on different computing platforms. This fact impedes the...
View ArticleDetermination of the Fault Quality Variables of a Multivariate Process Using...
AbstractThe multivariate statistical process control (MSPC) chart plays an important role in monitoring a multivariate process. Once a process disturbance has occurred, the MSPC out-of-control signal...
View ArticleRecognizing Mixture Control Chart Patterns with Independent Component...
AbstractEffective recognition of control chart patterns (CCPs) is an important issue since abnormal patterns exhibited in control chats can be associated with certain assignable causes adversely...
View ArticleApplying ICA and SVM to Mixture Control Chart Patterns Recognition in a Process
AbstractMixture control chart patterns (CCPs) mixed by two types of basic CCPs together usually exist in the real manufacture process. However, most existing studies are considered to recognize the...
View ArticleIntegrated Use of ICA and ANN to Recognize the Mixture Control Chart Patterns...
AbstractThe quality of a product is important to the success of an enterprise. In process designs, statistical process control (SPC) charts provide a comprehensive and systematic approach to ensure...
View ArticleIncorporating feature selection method into support vector regression for...
AbstractStock index forecasting is one of the most difficult tasks that financial organizations, firms and private investors have to face. Support vector regression (SVR) has become a popular...
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