• 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 ...
    • Criticality measures for components with multi-dimensional degradation 

      Liu, X.; Al-Khalifa, K.N.; Elsayed, E.A.; Coit, D.W.; Hamouda, A.S. ( Taylor and Francis Ltd. , 2014 , Article)
      Failures of engineering structures and equipment are often attributed to the failure of a single component. Hence, it is important to identify critical components in a system and understand how a component's criticality ...
    • Multivariate statistical process control charts based on the approximate sequential ?2 test 

      Kim, J.; Al-Khalifa, K.N.; Jeong, M.K.; Hamouda, A.M.S.; Elsayed, E.A. ( Taylor and Francis Ltd. , 2014 , Article)
      Similar to the univariate CUSUM chart, a multivariate CUSUM (MCUSUM) chart can be designed to detect a particular size of the mean shift optimally based on the scheme of a sequential likelihood ratio test for the noncentrality ...