https://puma.ub.uni-stuttgart.de/tag/Learning%20ProcessPUMA RSS feed for /tag/Learning%20Process2026-04-23T23:57:59+02:00https://puma.ub.uni-stuttgart.de/bibtex/25c1f7d06145f5a2635f1f1c258439b8b/ferrangionesferrangiones2024-07-02T11:28:25+02:00Entrepreneurship Entrepreneurship, Learning Process Technology education, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kari Kleine" itemprop="url" href="/person/1e879ef5730eae2e06edf6db53a46a111/author/0"><span itemprop="name">K. Kleine</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Silke Tegtmeier" itemprop="url" href="/person/1e879ef5730eae2e06edf6db53a46a111/author/1"><span itemprop="name">S. Tegtmeier</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ferran Giones" itemprop="url" href="/person/1e879ef5730eae2e06edf6db53a46a111/author/2"><span itemprop="name">F. Giones</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>January 2018<meta content="January 2018" itemprop="datePublished"/></span></em>)<em>2018 National Conference of the United States Association for Small Business and Entrepreneurship, USASBE 2018 ; Conference date: 10-01-2018 Through 14-01-2018.</em></span>Tue Jul 02 11:28:25 CEST 2024jan2018 National Conference of the United States Association for Small Business and Entrepreneurship, USASBE 2018 ; Conference date: 10-01-2018 Through 14-01-2018The Learning Process in Technology Entrepreneurship Education – Insights from an Engineering Degree2018Entrepreneurship Entrepreneurship, Learning Process Technology education, https://puma.ub.uni-stuttgart.de/bibtex/2bf17e993f626a2b1aa67f853fc1fb2ed/treebertreeber2024-02-02T08:07:58+01:00analysis anomaly condition detection learning machine machining manufacturing monitoring networks neural process series time tool <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tim Reeber" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/0"><span itemprop="name">T. Reeber</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jens Henninger" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/1"><span itemprop="name">J. Henninger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Niklas Weingarz" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/2"><span itemprop="name">N. Weingarz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peter M. Simon" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/3"><span itemprop="name">P. Simon</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maximilian Berndt" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/4"><span itemprop="name">M. Berndt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Moritz Glatt" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/5"><span itemprop="name">M. Glatt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Benjamin Kirsch" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/6"><span itemprop="name">B. Kirsch</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rocco Eisseler" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/7"><span itemprop="name">R. Eisseler</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jan C. Aurich" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/8"><span itemprop="name">J. Aurich</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hans Christian Möhring" itemprop="url" href="/person/1e3a1289eb25f61b42c18d8b1c809b89a/author/9"><span itemprop="name">H. Möhring</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Procedia CIRP</span>, </em> </span>(<em><span>2024<meta content="2024" itemprop="datePublished"/></span></em>)</span>Fri Feb 02 08:07:58 CET 2024Procedia CIRP216–221Tool condition monitoring in drilling processes using anomaly detection approaches based on control internal data1212024analysis anomaly condition detection learning machine machining manufacturing monitoring networks neural process series time tool https://puma.ub.uni-stuttgart.de/bibtex/2a7a788511715aefc9a8d1fce393ddd74/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00assessment cognition instruction learning load modeling myown process theory <meta content="thesis" itemprop="educationalUse"/><span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/16f6620f0bf2ef895c9bae2025646a349/author/0"><span itemprop="name">M. Wirzberger</span></a></span></span>. </span><span class="additional-entrytype-information"><em>TU Chemnitz, </em>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Load-inducing factors in instructional design: Process-related advances in theory and assessment2019assessment cognition instruction learning load modeling myown process theory https://puma.ub.uni-stuttgart.de/bibtex/28c494972705666f29df6c2d8f9c80392/isw-bibliothekisw-bibliothek2016-03-21T15:25:16+01:00Learning Milling Neural Process Support algorithms machines myown network stability vector xfh xlr xvl <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jens Friedrich" itemprop="url" href="/person/18f7522f978b23c86bce7a9d182e5dae6/author/0"><span itemprop="name">J. Friedrich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Hinze" itemprop="url" href="/person/18f7522f978b23c86bce7a9d182e5dae6/author/1"><span itemprop="name">C. Hinze</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Anton Renner" itemprop="url" href="/person/18f7522f978b23c86bce7a9d182e5dae6/author/2"><span itemprop="name">A. Renner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Verl" itemprop="url" href="/person/18f7522f978b23c86bce7a9d182e5dae6/author/3"><span itemprop="name">A. Verl</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Armin Lechler" itemprop="url" href="/person/18f7522f978b23c86bce7a9d182e5dae6/author/4"><span itemprop="name">A. Lechler</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Robotics and Computer-Integrated Manufacturing</span>, </em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>Mon Mar 21 15:25:16 CET 2016Robotics and Computer-Integrated Manufacturing - Estimation of stability lobe diagrams in milling with continuous learning algorithms 2015Learning Milling Neural Process Support algorithms machines myown network stability vector xfh xlr xvl Abstract The productivity of milling processes is limited by the occurrence of chatter vibrations. The correlation of the maximum stable cutting depth and the spindle speed can be shown in a stability lobe diagram (SLD). The stability is different for different width of cut and can change with the axis positions. Today it is already a great effort to estimate the \{SLD\} only for one position. Many experiments are necessary to measure the \{SLD\} or derive a detailed mathematical model to calculate the SLD. Moreover not only the cutting depth, but also the cutting width should be represented in the SLD. This paper presents a new approach to assess the process stability based on measured acceleration signals. The multidimensional stability lobe diagram (MSLD) are derived during the production using two new continuously learning algorithms. In this paper the application of a continuous learning support vector machine and a continuous neural network is shown. The support vector machine and the neural network are extended to make them capable for continuous learning and time-variant systems. A new trust criterion is introduced, which gives information about the prediction quality of the output for the selected input region. The learned \{MSLDs\} are evaluated against analytically calculated \{MSLDs\} and the learning algorithms can reproduce the analytical results very well. https://puma.ub.uni-stuttgart.de/bibtex/2575e20fd8faadd0adcf43a69e8eea13b/isw-bibliothekisw-bibliothek2016-03-21T15:22:24+01:00Learning Milling Process Support algorithm isw machines myown stbaility vector xfh xlr xvl <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jens Friedrich" itemprop="url" href="/person/17561a08748c744e594f0573293e6ba66/author/0"><span itemprop="name">J. Friedrich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Henning Hartmann" itemprop="url" href="/person/17561a08748c744e594f0573293e6ba66/author/1"><span itemprop="name">H. Hartmann</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Verl" itemprop="url" href="/person/17561a08748c744e594f0573293e6ba66/author/2"><span itemprop="name">A. Verl</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Armin Lechler" itemprop="url" href="/person/17561a08748c744e594f0573293e6ba66/author/3"><span itemprop="name">A. Lechler</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 24th International Conference on Flexible Automation &amp; Intelligent Manufacturing</span>, </em></span><em><span itemprop="publisher">University of Texas at San Antonio</span>, </em>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>Mon Mar 21 15:22:24 CET 2016Proceedings of the 24th International Conference on Flexible Automation {\&} Intelligent ManufacturingContinuous learning support vector machine to estimate stability lobe diagrams in milling2014Learning Milling Process Support algorithm isw machines myown stbaility vector xfh xlr xvl