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

Result code in 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>
Result on the web
<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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Result language
angličtina
Original language name
Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals
Original language description
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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JQ - Machinery and tools
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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