Robust multivariate control charts based on Birnbaum–Saunders distributions
Multivariate control charts are powerful and simple visual tools for monitoring the quality of a
process. This multivariate monitoring is carried out by considering simultaneously several …
process. This multivariate monitoring is carried out by considering simultaneously several …
Robust T2 control chart using median‐based estimators
One of the most widely used multivariate control charts is the Hotelling T2. In order to
construct a Hotelling T2 control chart, the mean vector (μ) and the variance–covariance …
construct a Hotelling T2 control chart, the mean vector (μ) and the variance–covariance …
Anomaly detection for unlabelled unit space using the Mahalanobis–Taguchi system
Alongside the progress in technology related to the Internet of Things, the Mahalanobis–
Taguchi (MT) system, which is an anomaly detection technique suitable for monitoring the …
Taguchi (MT) system, which is an anomaly detection technique suitable for monitoring the …
Alternative Hotelling's T2 Charts using Winsorized Modified One‐Step M‐estimator
FS Haddad, SS Syed‐Yahaya… - Quality and Reliability …, 2013 - Wiley Online Library
Hotelling's T2 chart is a popular tool for monitoring statistical process control. However, this
chart is sensitive in the presence of outliers. To alleviate the problem, this paper proposed …
chart is sensitive in the presence of outliers. To alleviate the problem, this paper proposed …
A Robust Bivariate Control Chart Alternative to the Hotelling's T2 Control Chart
In this paper, we proposed a new bivariate control chart denoted by based on the robust
estimation as an alternative to the Hotelling's T2 control chart. The location vector and the …
estimation as an alternative to the Hotelling's T2 control chart. The location vector and the …
Robust control charts for monitoring process variability in phase I multivariate individual observations
AM Variyath, J Vattathoor - Quality and Reliability Engineering …, 2014 - Wiley Online Library
Multivariate control charts are widely used in various industries to monitor the shifts in
process mean and process variability. In Phase I monitoring, control limits are computed …
process mean and process variability. In Phase I monitoring, control limits are computed …
A control chart based on cluster-regression adjustment for retrospective monitoring of individual characteristics
The tendency for experimental and industrial variables to include a certain proportion of
outliers has become a rule rather than an exception. These clusters of outliers, if left …
outliers has become a rule rather than an exception. These clusters of outliers, if left …
What is the role of expert intuition in process control?
Rules of statistical process control (SPC) suggest that processes should not be adjusted by
workers without an explicit data-driven management directive. By contrast, in many …
workers without an explicit data-driven management directive. By contrast, in many …
A non-linear mixed model approach for detecting outlying profiles
In parametric non-linear profile modeling, it is crucial to map the impact of model parameters
to a single metric. According to the profile monitoring literature, using multivariate T 2 statistic …
to a single metric. According to the profile monitoring literature, using multivariate T 2 statistic …
Approximate design and performance of the robust control charts for monitoring dispersion in Phase I
A Saghir, A Faraz - Quality and Reliability Engineering …, 2018 - Wiley Online Library
This article designs and studies the approximate performance of robust dispersion charts,
namely, MAD chart, S n chart, and Q n chart, in Phase I analysis (recently developed in the …
namely, MAD chart, S n chart, and Q n chart, in Phase I analysis (recently developed in the …