Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F12%3A00000321" target="_blank" >RIV/75081431:_____/12:00000321 - isvavai.cz</a>

Výsledek na webu

<a href="http://article.sapub.org/10.5923.j.jmea.20120206.01.html" target="_blank" >http://article.sapub.org/10.5923.j.jmea.20120206.01.html</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals

Popis výsledku v původním jazyce

Requirements for flexible manufacturing have been increasing in the last years. In order to insure effective operation of expansive manufacturing equipment, which has to run automatically and unattended, tool monitoring is important. Therefore, the essential problem to be overcome to achieve the full potential of unmanned machining is the development of effective and reliable sensors system to monitor the process and corrective actions in case abnormal operation. The ultimate goal of the development ofsuch production equipment is to enhance the overall economic of the manufacturing process. Even when there are at present many monitoring systems commercially available in the market for turning processes, serious difficulties still remain to be solved to apply monitoring systems successfully in machining centres. Being these difficulties mainly related with the limited accessibility to the rotating tool for sensing purposes in tool driven machining processes.

Název v anglickém jazyce

Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals

Popis výsledku anglicky

Requirements for flexible manufacturing have been increasing in the last years. In order to insure effective operation of expansive manufacturing equipment, which has to run automatically and unattended, tool monitoring is important. Therefore, the essential problem to be overcome to achieve the full potential of unmanned machining is the development of effective and reliable sensors system to monitor the process and corrective actions in case abnormal operation. The ultimate goal of the development ofsuch production equipment is to enhance the overall economic of the manufacturing process. Even when there are at present many monitoring systems commercially available in the market for turning processes, serious difficulties still remain to be solved to apply monitoring systems successfully in machining centres. Being these difficulties mainly related with the limited accessibility to the rotating tool for sensing purposes in tool driven machining processes.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JQ - Strojní zařízení a nástroje

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Journal and Mechanical Engineering and Automation

ISSN

2163-2413

e-ISSN

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Svazek periodika

roč. 2

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

108-113

Kód UT WoS článku

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EID výsledku v databázi Scopus

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