Testing Measuring Diag Equip & SE
Abstract
The Marine Corps Automatic Test Equipment (MCATE) program provides development of sustainment technology for automatic test equipment used in organizational/intermediate maintenance facilities. The Autonomic Logistics (AL) provides platform-based situational awareness to Marine Corps ground weapon systems. Embedded Platform Logistics System (EPLS) interfaces to a weapon system data bus to collect and process sensor data into actionable information. EPLS provides systems health, fuel and ammo levels, mobile and troop load information to the combatant commander and his supporting staff. Automatic Identification Technology (AIT) devices encompass a variety of read and write data storage technologies that are used to improve accuracy, timeliness, and handling. These technologies provide near-real time Total Asset Visibility data used to influence critical decisions by Operational Commanders. AIT enhances our force in readiness by coordinating, synchronizing and automatically transferring data by means of barcodes, magnetic stripes, integrated circuit cards, optical memory cards, active Radio Frequency Identification (aRFID), and passive RFID (pRFID) tags, as well as the software required to create and manage the devices, read the information stored on them, and integrate that information with other logistics data. The information on each device can range from a single part number to a self-contained database. These devices can be interrogated using a variety of means, including fixed infrastructures and portable systems. The information obtained from those interrogations is provided electronically to various Automated Information Systems (AIS). The Marine Corps Family of Automatic Test Systems (ATS), formerly called Third Echelon Test Sets (TETS), provides automatic test program capability for use by technicians both in garrison and the forward edge of the battlefield; specifically in the areas of interactive electronic technical manuals, condition/predictive based maintenance, and embedded sensors and prognostics.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2014
- Source ID
- 2929_0206624M_7_1319_PB_2014
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