GPMS, a leader in the field of integrated vehicle health monitoring systems, has begun a demonstration project with AM General on U.S. Army HUMVEE vehicles. The project will explore the feasibility of equipping HUMVEE vehicles with GPMS’s machine condition monitoring system, Foresight MX. The system, which monitors engine and drivetrain health and provides Remaining Useful Life Estimates on all key components, supports the U.S. military’s effort to develop Prognostic and Predictive Maintenance (PPMx) capabilities in the service.

“GPMS is excited to be working with AM General to implement technology that can improve readiness, lower operational costs, and ultimately save lives,” said Jed Kalkstein, President of GPMS. “Foresight MX has already been fielded in aviation for helicopter health monitoring. Our work on the HUMVEE shows additional applications for our uniquely-effective health monitoring technology.”

GPMS was founded by Dr. Eric Bechhoefer, one of the world’s foremost experts in machine failure prevention and vibration analysis. Nearly four years in development, Foresight MX uses proprietary sensors and onboard hardware to acquire and process signal data, cellular and WiFi to automatically transfer data offboard, and cloud software to analyze and present insights to operational and maintenance team members on how a machine is being operated and how it is operating. Numerous patents underlie both the hardware and software elements.

On HUMVEE vehicles, GPMS has adapted its modular sensor and data acquisition system to the vehicles, develop mechanical exceedances and component thresholds, and present a predictive dashboard that users can employ to optimize these assets. The system can be adapted to provide economical vehicle and fleet monitoring, with the added benefit that it can be used to retrofit legacy machines produced without a digital backbone.

PPMx tools provide self-diagnosis and alerts on the operational status and maintenance needs of Army vehicles. The Army’s PPMx program is a comprehensive maintenance system that provides end-to-end data as far as a system’s health and usage to enable data-driven decisions.

The program is an outgrowth of the Military’s larger investment in Condition Based Maintenance Plus, the application of processes and technologies to achieve the target availability, reliability, and operation and support costs of DoD systems. CBM+ uses a systems engineering approach to collect data, enable analysis, and support the decision-making processes for system acquisition, modernization, sustainment, and operations.


About GPMS

GPMS offers a next generation, predictive Health and Usage Monitoring System (HUMS) designed to give equipment operators the power to “Know it before it matters.” Its flagship Foresight™ solution provides Machine Condition Monitoring and Fleet Data Monitoring in one powerful system. Fully predictive, Foresight offers insights needed to optimize maintenance, safety and operations. GPMS has re-engineered the HUMS category to put its advantages within reach of every operator, making all vehicles smarter and more connected. To learn why today’s fleets depend on Foresight, visit

Upcoming Events

August 9 - August 11 2022

MaximoWorld 2022

View all Events
80% of newsletter subscribers report finding something used to improve their jobs on a regular basis.
Subscribers get exclusive content. Just released...MRO Best Practices Special Report - a $399 value!
Optimizing Value From Physical Assets

There are ever-increasing opportunities to create new and sustainable value in asset-intensive organizations through enhanced use of technology.

Conducting Asset Criticality Assessment for Better Maintenance Strategy and Techniques

Conducting an asset criticality assessment (ACA) is the first step in maintaining the assets properly. This article addresses the best maintenance strategy for assets by using ACA techniques.

Harmonizing PMs

Maintenance reliability is, of course, an essential part of any successful business that wants to remain successful. It includes the three PMs: predictive, preventive and proactive maintenance.

How an Edge IoT Platform Increases Efficiency, Availability and Productivity

Within four years, more than 30 per cent of businesses and organizations will include edge computing in their cloud deployments to address bandwidth bottlenecks, reduce latency, and process data for decision support in real-time.

MaximoWorld 2022

The world's largest conference for IBM Maximo users, IBM Executives, IBM Maximo Partners and Services with Uptime Elements Reliability Framework and Asset Management System is being held Aug 8-11, 2022

6 Signs Your Maintenance Team Needs to Improve Its Safety Culture

When it comes to people and safety in industrial plants, maintenance teams are the ones who are most often in the line of fire and at risk for injury or death.

Making Asset Management Decisions: Caught Between the Push and the Pull

Most senior executives spend years climbing through the operational ranks. In the operational ranks, many transactional decisions are required each day.

Assume the Decision Maker Is Not Stupid to Make Your Communication More Powerful

Many make allowances for decision makers, saying some are “faking it until they make it.” However, this is the wrong default position to take when communicating with decision makers.

Ultrasound for Condition Monitoring and Acoustic Lubrication for Condition-Based Maintenance

With all the hype about acoustic lubrication instruments, you would think these instruments, once turned on, would do the job for you. Far from it!

Maintenance Costs as a Percent of Asset Replacement Value: A Useful Measure?

Someone recently asked for a benchmark for maintenance costs (MC) as a percent of asset replacement value (ARV) for chemical plants, or MC/ARV%.