Abstract

The efficiency and security of the complex technical and information systems is ensured by means of monitoring their current state. A method is proposed to automatically detect the moment when a certain boundary state is exceeded by characteristic features based on the principal component analysis of the control charts. The method can make full use of the multidimensional detection of the system disorder. The principal component analysis was used to make new uncorrelated components that successively maximize variance. Finding principal components reduces solving an eigenvalue/eigenvector problem. The control charts of original data and principal component were calculated to show that principal component control charts are more reliable when correlated data are considered. The method of using principal component control charts can provide an independent numerical assessment of the characteristic indicators of the quality of the process and determine its disorder even when these indicators are correlated. The article provides a numerical example to illustrate the proposed method.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.