Light Armored Vehicle Condition Based Maintenance
(submitted by Roger LaPlante, EER Systems)

Statement of Problem:

The current method of performing heavy vehicle maintenance in the military and the private sector requires a costly spares inventory and labor pool due to schedule-based preventive maintenance schemes and poorly organized technical data. Old logistic support systems developed to support frequently failing, simplistic systems are simply too inefficient for today’s newer, more reliable technologies.

Proposed Solution:

A prognostic Condition Based Maintenance scheme that improves equipment readiness and reduces spare parts inventories for Light Armored Vehicles will be developed that builds upon an existing Integrated Data Environment and web portal by incorporating prognostic sensors, data collection, trends analysis, and algorithms to interpret LAV data to predict engine life span and engine safety. Tools that evaluate statistical data and sensor readings will be designed to help maintainers isolate and repair system faults quickly and efficiently without the need to understand the underlying Condition Based Maintenance technology.