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An adaptive step-down procedure for fault variable identification
(
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
(
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
(
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 ...