PROCEDURE FOR THE EVALUATION OF MEASURED DATA IN TERMS OF VIBRATION DIAGNOSTICS BY APPLICATION OF A MULTIDIMENSIONAL STATISTICAL MODEL

Abstract

The evaluation process of measured data in terms of vibration diagnosis is problematic for timeline constructors. The complexity of such an evaluation is compounded by the fact that it is a process involving a large amount of disparate measurement data. One of the most effective analytical approaches when dealing with large amounts of data is to engage in a process using multidimensional statistical methods, which can provide a picture of the current status of the flexibility of the machinery. The more methods that are used, the more precise the statistical analysis of measurement data, making it possible to obtain a better picture of the current condition of the machinery.

Authors and Affiliations

Tomas TOMKO, Michal PUSKAR , Robert BOSLAI

Keywords

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  • EP ID EP96150
  • DOI 10.20858/sjsutst.2016.91.13
  • Views 74
  • Downloads 0

How To Cite

Tomas TOMKO, Michal PUSKAR, Robert BOSLAI (2016). PROCEDURE FOR THE EVALUATION OF MEASURED DATA IN TERMS OF VIBRATION DIAGNOSTICS BY APPLICATION OF A MULTIDIMENSIONAL STATISTICAL MODEL. Scientific Journals of Silesian University of Technology. Series Transport, 2016(91), 125-131. https://europub.co.uk/articles/-A-96150