Turbomachinery Degradation Monitoring Using Adaptive Trend Analysis

M. Zagorowska, A.-M. Ditlefsen, Nina F. Thornhill, C. Skourup

Research output: Contribution to journalConference articleScientificpeer-review

5 Citations (Scopus)

Abstract

Performance deterioration in turbomachinery is an unwanted phenomenon that changes the behaviour of the system. It can be described by a degradation indicator based on deviations from expected values of process variables. Existing models assume that the degradation is strictly increasing with fixed convexity and that there are no additional changes during the considered operating period. This work proposes the use of an exponential trend approximation with shape adaptation and apply it in a moving window framework. The suggested method of adjustment makes it possible for the model to follow the evolution of the indicator over time. The approximation method is then applied for monitoring purposes, to predict future degradation. The influence of the tuning parameters on the accuracy of the algorithm is investigated and recommendations for the values are derived. Finally, directions for further work are proposed.

Original languageEnglish
Pages (from-to)679-684
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number1
DOIs
Publication statusPublished - 2019
Externally publishedYes

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