Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …

There are some situations when the process mean fluctuates from time to time but is still
considered as in-control and the process standard deviation is a linear function of the …

The coefficient of variation (CV) control chart has recently been introduced in the literature.
Here, the salient features of this chart and the conforming run length chart are integrated to …

Monitoring coefficient of variation is one of the successful approaches to Statistical Process
Control (SPC) when the process mean and standard deviation are not constants. This paper …

The coefficient of variation (CV) is a unit-free and effective normalized measure of
dispersion. Monitoring the CV is a crucial approach in Statistical Process Control when the …

This paper proposes an adaptive Shewhart control chart implementing a variable sample
size strategy in order to monitor the coefficient of variation. The goals of this paper are as …

The coefficient of variation (CV) is a quality characteristic that has several applications in
applied statistics and is receiving increasing attention in quality control. Few papers have …

Monitoring the coefficient of variation (CV) is a successful approach to Statistical Process
Control when the process mean and standard deviation are not constant. In recent years the …

Abstract The Adaptive Exponentially Weighted Moving Average (AEWMA) chart, which
combines the Shewhart and classical EWMA schemes, is usually designed using the …

The coefficient of variation (CV), a measure of relative variability, is an important quality
control issue worthy of consideration in some manufacturing and service-oriented …