Browsing Mechanical & Industrial Engineering by Subject "multivariate statistical process control"

Now showing items 1-6 of 6

    • An adaptive step-down procedure for fault variable identification 

      Kim, Jinho; Jeong, Myong K.; Elsayed, Elsayed A.; Al-Khalifa, K.N.; Hamouda, A.M.S. ( Taylor & Francis , 2015 , Article)
      In a process with a large number of process variables (high-dimensional process), identifying which variables cause an out-of-control signal is a challenging issue for quality engineers. In this paper, we propose an adaptive ...

    • An adaptive thresholding-based process variability monitoring 

      Abdella G.M.; Kim J.; Kim S.; Al-Khalifa K.N.; Jeong M.K.M.K.; ... more authors ( Taylor and Francis Inc. , 2019 , Article)
      In high-dimensional processes, monitoring process variability is considerably difficult due to the large number of variables and the limited number of samples. Monitoring changes in the covariance matrix of a multivariate ...

    • Bayesian framework for fault variable identification 

      Turkoz M.; Kim S.; Jeong Y.-S.; Jeong M.K.; Elsayed E.A.; ... more authors ( Taylor and Francis Inc. , 2019 , Article)
      In most manufacturing processes, identifying the faulty process variables that may lead to process changes is crucial for quality engineers and practitioners. There are several parametric procedures for identifying faulty ...

    • Distribution-Free Adaptive Step-Down Procedure for Fault Identification 

      Turkoz, Mehmet; Kim, Sangahn; Jeong, Young-Seon; Al-Khalifa, Khalifa N.; Hamouda, Abdel Magid ( Wiley , 2016 , Conference Paper)
      Identifying the faulty variables of the out-of-control signal in high-dimensional process is an important problem for quality control areas. Even though there have been several procedures for fault variable identifications, ...

    • Shifting artificial data to detect system failures 

      Hwang, W.-Y.; Lee, J.-S. ( John Wiley & Sons Ltd , 2015 , Article)
      Multivariate statistical process control (MSPC) is used for simultaneously monitoring several process variables. While small changes to normal operating conditions made by this system may not seriously affect the quality ...

    • Variable Selection-based Multivariate Cumulative Sum Control Chart 

      Abdella, Galal M.; Al-Khalifa, Khalifa N.; Kim, Sangahn; Jeong, Myong K.; Elsayed, Elsayed A.; ... more authors ( John Wiley and Sons Ltd , 2017 , Article)
      High-dimensional applications pose a significant challenge to the capability of conventional statistical process control techniques in detecting abnormal changes in process parameters. These techniques fail to recognize ...