NDLI: Shipboard machinery diagnostics and prognostics/condition based maintenance: a progress report

Content Provider	IEEE Xplore Digital Library
Author	Hadden, G.D. Bergstrom, P. Vachtsevanos, G. Bennett, B.H. Van Dyke, J.
Copyright Year	2000
Description	Author affiliation: Honeywell Inc., Minneapolis, MN, USA (Hadden, G.D.)
Abstract	Developed a distributed shipboard system to perform diagnostics and prognostics on mechanical equipment (e.g. engines, generators, and chilled water systems) for the Office of Naval Research (ONR). This Condition Based Maintenance (CBM) system (called MPROS for Machinery Prognostics/Diagnostics System) consists of MEMS and conventional sensors on the machinery, local intelligent signal processing devices (called "Data Concentrators"), and a centrally located subsystem (called the PDME for Prognostics, Diagnostics, Monitoring Engine) which is designed so that it can run under shipboard monitoring systems such as ICAS (Integrated Condition Assessment System). MPROS includes and augments periodic vibration analysis by collecting data continuously from vibration and other sensors, including temperature, pressure, current, voltage, and so on. These data streams are integrated as necessary in the Data Concentrators (data fusion). A second level of integration (knowledge fusion) occurs in the PDME. At this level, the conclusions of different diagnostic and prognostic reasoning mechanisms are fused to yield the best possible analysis. In this paper, we discuss recent progress in design and implementation of the software and hardware required to support our system.
Starting Page	277
Ending Page	292
File Size	2151476
Page Count	16
File Format	PDF
ISBN	0780358465
ISSN	1095323X
DOI	10.1109/AERO.2000.877904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machinery Engines Intelligent sensors Condition monitoring Vibrations Temperature sensors Micromechanical devices Mechanical sensors Sensor systems Machine intelligence
Content Type	Text
Resource Type	Article
Subject	Aerospace Engineering Space and Planetary Science

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