Telemetry and Diagnostics of Military Vehicles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F10%3A00423122" target="_blank" >RIV/60162694:G43__/10:00423122 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Telemetry and Diagnostics of Military Vehicles

Popis výsledku v původním jazyce

One of the new trends and strategies in logistic support for Land Based Systems is Condition Based Maintenance (CBM); the next step is Prognostic and Health Management (PHM) in U.S. Army [1], or Health and Usage Monitoring Systems (HUMS) [7] in UK Army.This concept is intended to perform maintenance by predicting failures based on a real-time assessment of equipment conditions obtained from vehicle systems with embedded sensors. Key components of this system on the part of the vehicle are: vehicle network architecture, modern electronic control units and intelligent sensors and actuators. The best solution is to obtain real data from control and sensor systems, which are embedded in the vehicle, to onboard diagnostics unit and send the data via telemetry unit to logistics server with diagnostic and prognostic capability. The speed and volume of acquired data depends on the type of protocols, used in vehicle network architecture and on the technique for collecting vehicle data.

Název v anglickém jazyce

Telemetry and Diagnostics of Military Vehicles

Popis výsledku anglicky

One of the new trends and strategies in logistic support for Land Based Systems is Condition Based Maintenance (CBM); the next step is Prognostic and Health Management (PHM) in U.S. Army [1], or Health and Usage Monitoring Systems (HUMS) [7] in UK Army.This concept is intended to perform maintenance by predicting failures based on a real-time assessment of equipment conditions obtained from vehicle systems with embedded sensors. Key components of this system on the part of the vehicle are: vehicle network architecture, modern electronic control units and intelligent sensors and actuators. The best solution is to obtain real data from control and sensor systems, which are embedded in the vehicle, to onboard diagnostics unit and send the data via telemetry unit to logistics server with diagnostic and prognostic capability. The speed and volume of acquired data depends on the type of protocols, used in vehicle network architecture and on the technique for collecting vehicle data.

Druh

D - Stať ve sborníku

CEP obor

KA - Vojenství

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

TRANSPORT MEANS 2010

ISBN

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ISSN

1822-296X

e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

Kaunas University of Technology

Místo vydání

Kaunas, Lithuania

Místo konání akce

Kaunas

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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