. "23210" . "1"^^ . . . "Tool condition monitoring by means of feedforward neural network with utilization of signals measured by active magnetic bearings" . "HU - Ma\u010Farsko" . "The paper deals with a simple detection tool for wear estimation of a cutting tool during milling, based on a feedforward neural network. The aim of the procedure mentioned in the paper is measurement and monitoring of cutting forces and displacements of a cutting spindle equipped with active magnetic bearings. Signals measured by the bearings can be directly used in the tool condition monitoring system. Experimental data are used for both training and testing of the neural network. The training data are very specific, describing only three typical cases of cutting configuration. Therefore, the universal use of the tool is not possible. However, it shows that the idea can be used for building of such a system. The system is a part of monitoring software being developed by the author."@en . . "S" . "0016-8572" . "RIV/49777513:23210/08:00500679" . . "1"^^ . . "The paper deals with a simple detection tool for wear estimation of a cutting tool during milling, based on a feedforward neural network. The aim of the procedure mentioned in the paper is measurement and monitoring of cutting forces and displacements of a cutting spindle equipped with active magnetic bearings. Signals measured by the bearings can be directly used in the tool condition monitoring system. Experimental data are used for both training and testing of the neural network. The training data are very specific, describing only three typical cases of cutting configuration. Therefore, the universal use of the tool is not possible. However, it shows that the idea can be used for building of such a system. The system is a part of monitoring software being developed by the author." . "Tool condition monitoring by means of feedforward neural network with utilization of signals measured by active magnetic bearings" . . "59" . . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 jednoduch\u00FDm detek\u010Dn\u00EDm n\u00E1strojem pro oodhad opot\u0159eben\u00ED \u0159ezn\u00E9ho n\u00E1stroje v procesu fr\u00E9zov\u00E1n\u00ED na b\u00E1zi dop\u0159edn\u00E9 neuronov\u00E9 s\u00EDt\u011B. Procedura zm\u00EDn\u011Bn\u00E1 v p\u0159\u00EDsp\u011Bvku je zalo\u017Eena na m\u011B\u0159en\u00ED a monitorov\u00E1n\u00ED \u0159ezn\u00FDch sil a posunut\u00ED v\u0159etena vybaven\u00E9ho akktivn\u00EDmi magnetick\u00FDmi lo\u017Eisky. Sign\u00E1ly m\u011B\u0159en\u00E9 lo\u017Eisky mohou b\u00FDt p\u0159\u00EDmo vyu\u017Eity v TCM syst\u00E9mu. Pro tr\u00E9nov\u00E1n\u00ED a testov\u00E1n\u00ED syst\u00E9mu jsou pou\u017Eita experiment\u00E1ln\u00ED data. Trenovac\u00ED data jsou velmi specifick\u00E1, popisuj\u00ED pouze t\u0159i specifick\u00E9 \u0159ezn\u00E9 konfigurace. Z toho d\u016Fvodu je univerz\u00E1ln\u00ED vyu\u017Eit\u00ED tohoto n\u00E1stroje nemo\u017En\u00E9. Nicm\u00E9n\u011B \u010Dl\u00E1nek ukazuje mo\u017Enost vyu\u017Eit\u00ED tohoto p\u0159\u00EDstupu pro realizaci takov\u00E9ho n\u00E1stroje. Zm\u00EDn\u011Bn\u00FD syst\u00E9m je \u010D\u00E1st\u00ED monitorovac\u00EDho software, vyv\u00EDjen\u00E9ho autorem."@cs . "3"^^ . "RIV/49777513:23210/08:00500679!RIV09-MSM-23210___" . "400191" . "10-11" . "G\u00C9P" . "Monitorov\u00E1n\u00ED stavu n\u00E1stroje prost\u0159ednictv\u00EDm dop\u0159edn\u00E9 neuronov\u00E9 s\u00EDt\u011B s vyu\u017Eit\u00EDm sign\u00E1l\u016F m\u011B\u0159en\u00FDch aktivn\u00EDmi magnetick\u00FDmi lo\u017Eisky"@cs . "[A71366FCF0D5]" . "active magnetic bearings; neural network; TCM"@en . "Tool condition monitoring by means of feedforward neural network with utilization of signals measured by active magnetic bearings"@en . . . . . "\u010Cerm\u00E1k, Roman" . . "Monitorov\u00E1n\u00ED stavu n\u00E1stroje prost\u0159ednictv\u00EDm dop\u0159edn\u00E9 neuronov\u00E9 s\u00EDt\u011B s vyu\u017Eit\u00EDm sign\u00E1l\u016F m\u011B\u0159en\u00FDch aktivn\u00EDmi magnetick\u00FDmi lo\u017Eisky"@cs . "Tool condition monitoring by means of feedforward neural network with utilization of signals measured by active magnetic bearings"@en . .