US Army Extends Predictive Maintenance Technology Partnership with Systecon

The primary objective of the US Army Prognostics & Predictive Maintenance (PPMx) Project was achieved and Systecon was awarded an additional contract to continue the support of the Army By DA Staff / 10 Oct 2022

Discover Leading Defense Technology Solutions

Discover cutting-edge solutions from leading global suppliers
SUPPLIER SPOTLIGHT
Follow DA

Systecon has secured a contract modification to continue supporting the US Army with predictive maintenance technology, deploying tools to support an operational Army unit at the Brigade level working directly with the Brigade staff to increase operational readiness and increase mission capability.

As part of the original contract, Systecon developed a data-driven predictive analytics model software prototype to improve equipment availability and fleet readiness across the force through a prognostic and predictive maintenance capability to reduce associated equipment down time.

The company’s work provided Army Materiel Command Analysis Group (AMCAG) with the ability to provide more timely and accurate failure rate calculations to better optimize the supply chain and optimize maintenance to maximize mission effectiveness through cutting edge methods for fleet analytics. 

Team Systecon has ability to utilize raw data from the platform sensors and maintenance data to train and deploy Artificial Intelligence (AI) algorithms and build predictive models to accurately anticipate system failures and calculate remaining useful life.

During a 12-month period of performance, Team Systecon has acquired all data available to AMCAG to construct an initial baseline model and prototype.

Team Systecon built an Army Prognostics & Predictive Maintenance (PPMx) prototype toolset in a single Microsoft Azure GovCloud environment. This prototype utilizes proprietary, deep Machine Learning (ML) algorithms and leverages Topological Data Analysis to automatically present actionable information via a customized, user-friendly dashboard display.

The vehicle agnostic algorithms correlate state variables such as kinematic data, system sensor data, external condition variables, and digital behavioral data to infer a system’s current state and digital maintenance information.

The model achieved a training accuracy of 96% which beats the 55% accuracy threshold for performing better than random selection. The model also achieved a total false positive rate of 3% with a 1.5% failure rate in classifying a Non Mission Capable (NMC) system as Fully Mission Capable (FMC). Model performance increases as target period increases and the Error rate decreases as target period increases. The model has excellent performance with 3% error rate meaning it can predict NMC and FMC occurrences with a high degree of accuracy.

Implementation of this solution at an operational unit is suggested to realize the largest benefits from this prototype. Because all the tools utilized in the prototype are platform agnostic, the same algorithms and models support any platform. A few of the benefits that could be realized through a larger implementation of the prototype are:

  • Improved deployment sustainment support using TPFD validation capabilities, etc.
  • Optimizing materiel readiness and supply performance enterprise wide using current data from platforms
  • Understand 2nd and 3rd order effects for operational deployment and mission support
  • Resourcing readiness to critical units and missions
  • Optimizing ASLs and design deployment kits
Posted by DA Staff Connect & Contact

Latest Articles

AI-Powered Mission Planning & Target Recognition Software Selected for Long-Range Loitering Munitions

Teledyne FLIR OEM's Prism Supervisor and Prism SKR software is being integrated into Dragoon Technology's UAS under the DIU's Project Artemis

May 22, 2025
GA-ASI Begins Ground Testing of Uncrewed Collaborative Combat Aircraft

GA-ASI has begun ground testing of its YFQ-42A uncrewed jet for the U.S. Air Force’s CCA program, targeting a summer 2025 first flight as part of next-generation combat aviation efforts

May 22, 2025
Support Equipment Solutions for Military Aviation & Aerospace

Defense Advancement showcases WilliamsRDM's support equipment design and manufacturing for military aviation and aerospace programs

May 22, 2025
New Hybrid Solution for Long-Term GNSS-Denied Navigation

Advanced Navigation has demonstrated a major breakthrough with a Hybrid Navigation System designed for GPS-denied environments, combining a strategic-grade FOG INS with a laser velocity sensor

May 21, 2025
New muLTElink Features Improve Command & Control for UAS

uAvionix’s latest muLTElink software update enhances UAS connectivity with automated link management, improving resilience, reliability, and cost-efficiency in complex operations

May 21, 2025
Honeywell Unveils Resilient INS with Anti-Jamming Technology

Honeywell has launched its new HGuide o480 INS, delivering precise, resilient navigation with anti-jamming technology for compact unmanned systems operating in GPS-denied or contested environments

May 21, 2025

Featured Content

New Line of Kinetic-Capable Unmanned Surface Vessels Introduced

Red Cat Holdings enters the maritime autonomy market with a new line of combat-proven USVs, expanding its multi-domain unmanned systems for naval operations

May 20, 2025
Next-Gen Group 2 UAS Enters Production with Extended Endurance & Upgrades

Aurora Flight Sciences upgrades the SKIRON-X Group 2 UAS with greater versatility and tactical mission endurance, as well as announcing the hydrogen-powered SKIRON-XLE variant

May 13, 2025
Discover ANELLO’s SiPhOGâ„¢ for GNSS-Denied Navigation at XPO25

CEO of ANELLO Photonics, Dr. Mario Paniccia, will present at Xponential 2025 on the company's SiPhOG-based inertial navigation technology in GPS-denied and GNSS-contested environments.

May 09, 2025
Advancing Defense Capability Through Strategic Collaboration Defense Advancement works with major OEMs to foster collaboration and increase engagement with SMEs, to accelerate innovation and drive defense capabilities forward.