U.S. Army Advances Condition‑Based Maintenance with Innovative Sensors and Predictive Analytics

Fielding of Condition‑Based Maintenance (CBM) Systems

In partnership with Aberdeen Test Center, AMSAA has deployed CBM boxes, software, templates, and thermal sensors across the Army’s area of responsibility and the National Training Center, enabling near real‑time monitoring of vehicle performance, soldier thermal safety, and vehicle health.

Predictive Maintenance Algorithms

AMSAA is developing algorithms that fuse maintenance logs and operational data to forecast component wear and failure. The onboard system, designed with ATC and Aberdeen Proving Ground, ingests data from vehicle sensors, the SAE J‑1708 bus, terrain detectors, and GPS to assess vehicle condition in flight.

Phase‑Based Implementation

• Phase 1: Selection of hardware and software for an Engineering Development Health and Usage Monitoring System (EDHUMS) and installation of data‑acquisition units in theater.
• Phase 2: Creation of a military‑grade EDHUMS, definition of the analysis workflow, field testing in continental U.S. training environments, and initial deployment to overseas units.
• Phase 3: Development of a cost‑effective focused HUMS, followed by integration of proven FHUMS components into new platforms or existing hardware.

Demonstrated Capabilities

AMSAA has instrumented more than 80 analog channels, multiple J‑1708 bus lines, and GPS units on several vehicles. These platforms have traversed all APG test courses repeatedly, supplying rich datasets for prognostic algorithm refinement.

Operational Deployment

Over the past year, ATC and AMSAA collected and analyzed data from 20 wheeled vehicles across Iraq, yielding usage profiles and operating parameters that will inform fleet management, engineering design, and testing optimization.

Field Testing and Reporting

Since June, EDHUMS has been active on tactical wheeled vehicles at the National Training Center in Fort Irwin. Real‑time data are processed into actionable reports for fleet managers, engineers, and maintenance crews. The system will deploy 10–20 units during the upcoming Heavy Brigade Combat Team CBM+ COBRA demonstration.

Insights and Future Direction

AMSAA’s analyses provide metrics such as time in gear, fuel consumption, soldier thermal environment, speed duration, and basic terrain classification. The goal is to shift much of this processing onboard, reducing offline data volumes and delivering concise graphical or summary reports.

Continuous customer engagement shapes the information needs and display preferences, while data‑flow refinement and phased rollout of diagnostic and prognostic algorithms ensure rigorous verification. Collaboration with soldiers, industry, and other agencies is advancing a robust CBM process that will boost readiness and deliver significant logistics cost savings.