Title: Data engineering for the electrical quality assurance of the LHC - a preliminary study

Authors: Matej Mertik; Knud Dahlerup-Petersen

Addresses: TE-MPE-EE, CERN, Geneva, Switzerland ' TE-MPE-EE, CERN, Geneva, Switzerland

Abstract: In this paper, we present a case study of the development of a scientific tool for the data analysis and engineering of large Hadron collider (LHC) commissioning data when implementing electrical quality assurance on the LHC machine. We present the development process of the data models and a prototype application developed on these data models. We explain the iterative process when searching for appropriate models and we explain the preliminary research on feature extraction of the signal necessary for building the models. We conclude the paper with remarks on the preliminary work, developed prototype and its functionalities and we discuss the future development plan.

Keywords: data mining; data engineering; data visualisation; knowledge visualisation; large Hadron collider; LHC; electrical quality assurance; ELQA; feature extraction; data analysis; data modelling.

DOI: 10.1504/IJDMMM.2017.082553

International Journal of Data Mining, Modelling and Management, 2017 Vol.9 No.1, pp.65 - 78

Received: 25 Jun 2015
Accepted: 12 Dec 2015

Published online: 18 Feb 2017 *

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