Multivariate Statistical Process Control [PDF]
, 2013 As sensor and computer technology continues to improve, it becomes a normal occurrence that we confront with high dimensional data sets. As in many areas of industrial statistics, this brings forth various challenges in statistical process control (SPC ...
Zhiqiang Ge, Zhihuan Song
core +5 more sources
Sufficient reduction methods for multivariate health surveillance [PDF]
, 2013 Surveillance systems aim to detect sudden changes or aberrations in data series which might signal the possibility of disease outbreaks. Early detection with a low false alarm rate (FAR) is the main aim of outbreak detection as used in health ...
Siripanthana, Sawaporn
core +6 more sources
A data-based approach for multivariate model predictive control performance monitoring [PDF]
, 2011 An intelligent statistical approach is proposed for monitoring the performance of multivariate model predictive control (MPC) controller, which systematically integrates both the assessment and diagnosis procedures.
Chen, Sheng +2 more
core +2 more sources
Economic and Economic-Statistical Designs of Multivariate Coefficient of Variation Chart
Revstat Statistical Journal, 2022 From the economic perspective, cost minimization is an important part of Statistical Process Control (SPC). The conventional approach in SPC focuses on monitoring the process mean and variance for possible shifts. In some processes, such as clinical and
Wei Chun Ng +3 more
doaj +1 more source
One approach in using multivariate statistical process control in analyzing cheese quality
Mljekarstvo, 2015 The objective of this paper was to investigate possibility of using multivariate statistical process control in analysing cheese quality parameters.
Ilija Djekic +5 more
doaj +1 more source
Study on Likelihood-Ratio-Based Multivariate EWMA Control Chart Using Lasso
Kvalita Inovácia Prosperita, 2021 Purpose: When applying exponentially weighted moving average (EWMA) multivariate control charts to multivariate statistical process control, in many cases, only some elements of the controlled parameters change.
Takumi Saruhashi +2 more
doaj +1 more source
Robust kernel distance multivariate control chart using support vector principles [PDF]
, 2008 It is important to monitor manufacturing processes in order to improve product quality and reduce production cost. Statistical Process Control (SPC) is the most commonly used method for process monitoring, in particular making distinctions between ...
Chinnam, R. B. +5 more
core +1 more source
Predictive condition monitoring of industrial systems for improved maintenance and operation [PDF]
, 2014 Maintenance strategies based on condition monitoring of the different machines and devices in an industrial process can minimize downtime, increase the safety of plant operations and help in the process of decision-taking for control and maintenance ...
Ruiz Cárcel, Cristóbal
core +7 more sources
Towards federated multivariate statistical process control (FedMSPC)
CoRR, 2022 The ongoing transition from a linear (produce-use-dispose) to a circular economy poses significant challenges to current state-of-the-art information and communication technologies. In particular, the derivation of integrated, high-level views on material, process, and product streams from (real-time) data produced along value chains is challenging for
Du Nguyen Duy +2 more
openaire +2 more sources
A Transfer Learning-Based Multivariate Control Chart for Dengue Surveillance in Hong Kong
IEEE Access, 2023 Dengue is a severe mosquito-borne epidemic disease. There is no effective vaccine for dengue, so a real-time surveillance system becomes crucial to detect dengue outbreaks.
Zezhong Wang, Inez Maria Zwetsloot
doaj +1 more source