Towards autonomic systems for lifecycle support of complex equipment

Author

Crapo, Andrew W. ; Aragones, Amy V. ; Price, Joseph E. ; Varma, Anil

Author_Institution

GE Global Res., Niskayuna, NY, USA

fYear

2003

fDate

27-29 Oct. 2003

Firstpage

322

Lastpage

329

Abstract

GE has been a leader in remote monitoring and diagnostics of complex systems, such as medical imaging equipment and aircraft engines, for a number of years. The data gathered and the analytical capabilities developed have naturally lead toward service contracts to maintain individual machines and fleets of machines while lowering the cost of ownership for our customers. As information technology extends the reach of diagnostic, prognostic, and decision support systems, opportunities to optimize support of specific organizational objectives is enhanced. Such a decision support system is envisioned and is inspired by the human autonomic nervous system.

Keywords

decision making; decision support systems; information systems; logistics data processing; General Electric Company; aircraft engines; autonomic systems; complex systems; decision making; decision support system; diagnostic system; human autonomic nervous system; information systems; information technology; information theory; lifecycle support; logistics; medical imaging equipment; prognostic system; remote diagnostics; remote monitoring; Autonomic nervous system; Biomedical imaging; Contracts; Costs; Decision support systems; Engines; Humans; Information technology; Military computing; Remote monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Reuse and Integration, 2003. IRI 2003. IEEE International Conference on

Print_ISBN

0-7803-8242-0

Type

conf

DOI

10.1109/IRI.2003.1251433

Filename

1251433