Dynamic trend analysis is an important technique for fault detection and diagnosis. Trend
analysis involves hierarchical representation of signal trends, extraction of the trends, and …

Recently, the research on efficient extraction of previously unknown, frequently appearing
patterns in a time-series data has received much attention. These patterns are called 'motifs' …

Theincreasingcomplexityofspacevehiclessu…, andthecostreduction measures that have
affected satellite operators are increasingly driving the need for more autonomy in satellite …

In this article a combined signed directed graph (SDG) and qualitative trend analysis (QTA)
framework for incipient fault diagnosis has been proposed. The SDG is the first level in this …

An important goal of knowledge discovery is the search for patterns in data that can help
explain the underlying process that generated the data. The patterns are required to be new …

A spate of industrial surveys over the past decade indicate that only about one-third of
industrial controllers provide acceptable performance. Since significant commercial benefits …

Qualitative trend analysis (QTA) is a process-history-based data-driven technique that works
by extracting important features (trends) from the measured signals and evaluating the …

This paper presents an alarm system based on trend analysis. A trend is semi-quantitative
information, extracted on-line, expressing the time evolution of a signal with several symbols …

Chemical plants operate in a variety of states; some of these are steady states while others
including grade changes, startup, shutdown, and maintenance operations are transitions …

Les travaux présentés se situent dans le domaine de l'aide à la décision pour la surveillance
de systèmes complexes tels que les procédés chimiques. Pour de tels procédés il n'est pas …