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

J 2012

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

VILČEK, Igor, Jozef KOVÁČ a Jaroslava JANEKOVÁ

Základní údaje

Originální název

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

Název česky

Predikce katastrof pomocí spektrální analýzy a koherentní funkce mezi signály axiálních sil a krouticích momentů.

Autoři

VILČEK, Igor (703 Slovensko, garant, domácí), Jozef KOVÁČ (703 Slovensko) a Jaroslava JANEKOVÁ (703 Slovensko)

Vydání

Journal and Mechanical Engineering and Automation, Rosemead, Kalifornie, USA, Scientific & Academic Publishing, 2012, 2163-2413

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

20000 2. Engineering and Technology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/75081431:_____/12:00000321

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

Klíčová slova česky

Predikce katastrof; řezné síly; výroba; monitorování; koherentní funkce

Klíčová slova anglicky

Failure Prediction; Monitoring; Drilling; Cutting Forces; Manufacturing; Coherence Function

Štítky

KSTR1, riv13

Změněno: 27. 3. 2014 14:06, Mgr. Václav Karas

Anotace

ORIG CZ

V originále

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 of such 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. Therefore, the primary objective of this paper assess the feasibility of using force signal analysis as means for monitoring tool condition in drilling

Česky

Hlavní cílem této publikace jsou možnosti posouzení využití analýzy silového signálu jako prostředku pro sledování stavu vrtáku v procesu obrábění, predikce případných katastrof např. (náhlé ulomení vrtáku).

Citovat

VILČEK, Igor, Jozef KOVÁČ a Jaroslava JANEKOVÁ. Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals. Journal and Mechanical Engineering and Automation. Rosemead, Kalifornie, USA: Scientific & Academic Publishing, 2012, roč. 2, č. 6, s. 108-113. ISSN 2163-2413.

@article{20142,
   author = {Vilček, Igor and Kováč, Jozef and Janeková, Jaroslava},
   article_location = {Rosemead, Kalifornie, USA},
   article_number = {6},
   keywords = {Failure Prediction; Monitoring; Drilling; Cutting Forces; Manufacturing; Coherence Function},
   language = {eng},
   issn = {2163-2413},
   journal = {Journal and Mechanical Engineering and Automation},
   title = {Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals},
   url = {http://article.sapub.org/10.5923.j.jmea.20120206.01.html},
   volume = {roč. 2},
   year = {2012}
}

TY  - JOUR
ID  - 20142
AU  - Vilček, Igor - Kováč, Jozef - Janeková, Jaroslava
PY  - 2012
TI  - Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals
JF  - Journal and Mechanical Engineering and Automation
VL  - roč. 2
IS  - 6
SP  - 108-113
EP  - 108-113
PB  - Scientific & Academic Publishing
SN  - 21632413
KW  - Failure Prediction
KW  - Monitoring
KW  - Drilling
KW  - Cutting Forces
KW  - Manufacturing
KW  - Coherence Function
UR  - http://article.sapub.org/10.5923.j.jmea.20120206.01.html
L2  - http://article.sapub.org/10.5923.j.jmea.20120206.01.html
N2  - 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 of such 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. Therefore, the primary objective of this paper assess the feasibility of using force signal analysis as means for monitoring tool condition in drilling
ER  -

VILČEK, Igor, Jozef KOVÁČ a Jaroslava JANEKOVÁ. Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals. \textit{Journal and Mechanical Engineering and Automation}. Rosemead, Kalifornie, USA: Scientific \&{} Academic Publishing, 2012, roč. 2, č.~6, s.~108-113. ISSN~2163-2413.

Podrobný výpis o publikaci