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Standard

3GCN - CABIN DISTRIBUTION SYSTEM

2010-11-26
CURRENT
ARINC808-2
This Specification defines general architectural philosophy and aircraft infrastructure for the proper use and interface of various cabin related IFE equipment. Compliance with ARINC Specification 808 allows each respective system to operate in concert when integrated with other relevant cabin equipment. ARINC Specification 808 defines standards for the aircraft 3rd Generation Cabin Network (3GCN), IFE Cabin Distribution System (CDS), wiring, connectors, power, identification codes, space envelopes, and mounting principles. Although some of these standards also apply to 3GCN wireless IFE systems, the overall 3GCN wireless IFE network specification is covered in ARINC Specification 820. The equipment itself is not a subject of this specification because it may be unique to the system manufacturer or marketplace-driven. Design guidelines are included for informational purposes as these guidelines impact the interfaces and installation of cabin equipment aboard the aircraft.
Standard

Air Transport Equipment Cases and Racking

1974-03-15
CURRENT
ARINC404A
This original "ATR" packaging standard provides a system of modularized equipment dimensions used in a wide variety of avionics installations. Connector standards, mating and holdown techniques are included.
Magazine

Aerospace & Defense Technology: September 2021

2021-09-01
Pulse Plasma Nitriding for Aerospace Application Ruggedization of Electronics for Deployed Military Environments Migrating Advanced Signal Processing Technology to Rugged SFF Platforms Radar Recording Proves Next-Level System Performance As radar and electronic warfare systems contend with an increasingly crowded environment, recording tests, interactions, and conflicts provides insight that can help assure future triumphs. > Facing 5G New Radio (NR) Test Challenges Communicating Via Long-Distance Lasers The Purpose of Mixed-Effects Models in Test and Evaluation The simplest version of a mixed model-the random intercept model, where so-called random effects represent group-wide deviations from a grand mean-can account for day-to-day deviations in system performance while still allowing the results to be generalized beyond the few days of observed testing.
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