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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
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dc.contributor | Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
dc.contributor.author | Zurita Millán, Daniel |
dc.contributor.author | Cariño Corrales, Jesús Adolfo |
dc.contributor.author | Delgado Prieto, Miquel |
dc.contributor.author | Ortega Redondo, Juan Antonio |
dc.date | 2014 |
dc.identifier.citation | Zurita, D. [et al.]. Distributed neuro-fuzzy feature forecasting approach for condition monitoring. A: IEEE International Conference on Emerging Technologies and Factory Automation. "Proceedings of the 19th IEEE International Conference on Emerging Technologies and Factory Automation". Barcelona: Institute of Electrical and Electronics Engineers (IEEE), 2014. |
dc.identifier.citation | 978-1-4799-4846-8 |
dc.identifier.citation | 10.1109/ETFA.2014.7005180 |
dc.identifier.uri | http://hdl.handle.net/2117/26982 |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.relation | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005180&isnumber=7005023 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject | Artificial intelligence |
dc.subject | {condition monitoring |
dc.subject | feature selection |
dc.subject | fuzzy neural nets |
dc.subject | fuzzy reasoning |
dc.subject | pattern classification |
dc.subject | reliability |
dc.subject | ANFIS |
dc.subject | adaptive neuro-fuzzy inference system models |
dc.subject | condition monitoring capabilities |
dc.subject | distributed neuro-fuzzy feature forecasting approach |
dc.subject | feature calculation |
dc.subject | feature classification |
dc.subject | feature reduction |
dc.subject | industrial machinery reliability |
dc.subject | Artificial neural networks |
dc.subject | Degradation |
dc.subject | Forecasting |
dc.subject | Predictive models |
dc.subject | Prognostics and health management |
dc.subject | Time-domain analysis |
dc.subject | Training |
dc.subject | Artificial intelligence |
dc.subject | Condition monitoring |
dc.subject | Feature extraction |
dc.subject | Fuzzy neural networks |
dc.subject | Machine learning |
dc.subject | Prognosis |
dc.subject | Remaining Useful Life |
dc.subject | Time domain analysis} |
dc.subject | Intel·ligència artificial |
dc.title | Distributed neuro-fuzzy feature forecasting approach for condition monitoring |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract |