Prognostics for Bus-Architecture Vehicles
Abstract
The goal of condition-based maintenance (CBM) is to optimize operational readiness of equipment through predictive and proactive maintenance. This capability requires accurate prediction of the remaining useful lifetime of each component, so that each may be replaced shortly before it is likely to impair mission readiness. By reducing unnecessary component replacements while still providing effective maintenance, effective Condition Based Maintenance ensures reliability of the warfighter's equipment at lessened expense, thus enhancing mission capability. The practice of forming predictions of component reliability is called prognostics. In this paper we consider the application of prognostics to military vehicles utilizing data bus architecture, particularly in the context of the Advanced Multiplex Test System (AMTS). We discuss several methods of designing prognostics (including incorporating the use of machine learning) as well as the barriers existing in this domain environment both to design and implementation of effective predictive maintenance. We present a variety of suggestions for a gradual approach to developing prognostics capabilities in this setting.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2006
- Accession Number
- ADA481667
Entities
People
- K. B. Capolongo
- K. L. Johnsgard
Organizations
- Western Oregon University