Integrated predictive diagnostics: An expanded view

Robert J. Hansen, David L. Hall, G. William Nickerson, Shashi Phoha

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

Abstract

In a previous paper (Hansen et al., 1995), a conceptual framework for developing a true prognostic or predictive diagnostic capability was described. The current paper expands on this framework by describing micro-mechanical and dynamic models, sensors and data fusion, signal processing, approximate reasoning, distributed architecture, and human factors research and development being conducted to provide such a capability for a broad range of applications. These include both autonomous and man-in-the-loop decision making about maintenance actions and local and geographically distributed monitoring and data analysis architectures.

Original languageEnglish (US)
Title of host publicationManufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791878767
DOIs
StatePublished - 1996
EventASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition, GT 1996 - Birmingham, United Kingdom
Duration: Jun 10 1996Jun 13 1996

Publication series

NameASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition, GT 1996
Volume5

Other

OtherASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition, GT 1996
Country/TerritoryUnited Kingdom
CityBirmingham
Period6/10/966/13/96

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology
  • Nuclear Energy and Engineering
  • Aerospace Engineering
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Integrated predictive diagnostics: An expanded view'. Together they form a unique fingerprint.

Cite this