NASA/JPL ePrognostics Technology to Support Fleet Remote Operations and Asset Health Management

reportActive / Technical Report | Accession Number: ADA583799 | Open PDF

Abstract:

The first paper summarizes Naval Surface Warfare Center Port Hueneme Division s NSWC PHD efforts to investigate the NASAJet Propulsion Laboratory JPL ePrognostics tool to support remote operations, asset status, and health management. The analysis involves the adaption of NASAJPL algorithms to the Navy SPY-1 Radar system, and the application of Six Sigma tools for both product evaluation and enhanced prediction protocols. The SPY-1 radar is the primary air and surface radar for the AEGIS Combat System.

Author(s):
Carlton-wippern, K. ; Chan, P. ; Ochoa, J. ; Tsugawa, V. ; Ward, M.
Author Organization(s):
NAVAL SURFACE WARFARE CENTER PORT HUENEME CA
Descriptive Note:
Conference paper
Supplementary Note:
The original document contains color images. Presented at ASNE Day 2012, Crystal City, Arlington, VA, February 9-10, 2012.
Pagination:
0001

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Monitor Series:
NSWC/PHD
 Subject Terms
Communities of Interest:
Biomedical
Descriptor(s):
*FAILURE, *FORECASTING, ANOMALIES, DATA ACQUISITION, MILITARY EQUIPMENT, MONTE CARLO METHOD, PREDICTIONS, REGRESSION ANALYSIS
Field(s)/Group(s):
Statistics and Probability, Logistics, Military Facilities and Supplies
Keyword(s):
ANOMALY DETECTION, AUTOREGRESSIVE FORECASTING MODEL, COMPONENT FAILURES, CONTROL CHARTS, EQUIPMENT FAILURES, MODELING AND SIMULATION, OUTAGES, SYSTEM FAILURES, OUTAGES
Report Date:
2012 Feb 01
Creation Date:
2013 Sep 23