Trends in research techniques of prognostics for gas turbines and diesel engines

Joseph T. Bernardo, Karl Martin Reichard

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

1 Scopus citations

Abstract

Research techniques of prognostics for gas turbines anddiesel engines have advanced in recent years. An analysis oftrends in these techniques would benefit researchersassessing growth in the field and planning future researchefforts. Prognostics research techniques were identified in1,734 published papers dated 1997-2016 from both thePrognostics and Health Management (PHM) Society andpapers identified by CiteSeerx that were published at venuesother than the PHM Society. In order to categorize papers byresearch technique, a taxonomy of prognostics was created.Additionally, the papers were categorized into two topics:gas turbines and diesel engines. In a large proportion ofpapers, trends in research techniques of prognostics for gasturbines and diesel engines reflected improvements in thespeed of multi-core computer processors, the development ofoptimized learning methods, and the availability of largetraining sets. The variety of prognostics research techniquesthat were identified in this review demonstrated the growthin prognostics research and increased use of this knowledgein the field. This systematic analysis of trends in researchtechniques of prognostics for gas turbines and diesel enginesis useful to assess growth and utilization of knowledge in thelarger field, and to provide a rationale (i.e., strategy, basis,structure) for planning the most effective use of limitedresearch resources and funding.

Original languageEnglish (US)
Title of host publicationPHM 2017 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017
EditorsMatthew J. Daigle, Anibal Bregon
PublisherPrognostics and Health Management Society
Pages260-268
Number of pages9
ISBN (Electronic)9781936263059
StatePublished - Jan 1 2017
Event9th Annual Conference of the Prognostics and Health Management Society, PHM 2017 - St. Petersburg, United States
Duration: Oct 2 2017Oct 5 2017

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
ISSN (Print)2325-0178

Conference

Conference9th Annual Conference of the Prognostics and Health Management Society, PHM 2017
CountryUnited States
CitySt. Petersburg
Period10/2/1710/5/17

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Trends in research techniques of prognostics for gas turbines and diesel engines'. Together they form a unique fingerprint.

  • Cite this

    Bernardo, J. T., & Reichard, K. M. (2017). Trends in research techniques of prognostics for gas turbines and diesel engines. In M. J. Daigle, & A. Bregon (Eds.), PHM 2017 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017 (pp. 260-268). (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM). Prognostics and Health Management Society.