An approach to generating summaries of time series data in the gas turbine domain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we propose an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through the think-aloud method with the aid of visualization of temporal data using time series workbench (TSW), both domain knowledge from experts about how to solve problems in the gas turbine and information about how domain experts analyze the archived temporal data are gotten. An algorithm to select interesting events is proposed and a prototype knowledge-based system is designed to generate summary of temporal data for interesting events in the gas turbine domain. Some further research works also are pointed.

Original languageEnglish
Title of host publication2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G
Place of PublicationNEW YORK
PublisherIEEE Press
PagesC44-C51
Number of pages8
ISBN (Print)7-900081-58-5
Publication statusPublished - 2001

Keywords

  • knowledge acquisition
  • knowledge-based system
  • gas turbine

Cite this

Yu, J., Hunter, J., Reiter, E. B., & Sripada, S. (2001). An approach to generating summaries of time series data in the gas turbine domain. In 2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G (pp. C44-C51). IEEE Press.