Dataset Open Access
Dorst, Tanja
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">dynamic measurement, measurement uncertainty, sensor network, digital sensors, MEMS, machine learning, European Union (EU), Horizon 2020, EMPIR</subfield> </datafield> <controlfield tag="005">20210420141003.0</controlfield> <controlfield tag="001">3929385</controlfield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">1107393400</subfield> <subfield code="z">md5:b6dfa97265e5c1101da5d0eb0aa78ed5</subfield> <subfield code="u">https://zenodo.org/record/3929385/files/axis3_2kHz.h5</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">1070609400</subfield> <subfield code="z">md5:9a19cead620765112703d7e7ff104c1d</subfield> <subfield code="u">https://zenodo.org/record/3929385/files/axis5_2kHz.h5</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">1008833400</subfield> <subfield code="z">md5:5bee3964038ff31b86955cea5f8b93dd</subfield> <subfield code="u">https://zenodo.org/record/3929385/files/axis7_2kHz.h5</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">568173</subfield> <subfield code="z">md5:a7b654478e41e4dfc707d2fb0732231f</subfield> <subfield code="u">https://zenodo.org/record/3929385/files/documentation.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2019-05-10</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="p">user-met4fof</subfield> <subfield code="o">oai:zenodo.org:3929385</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Dorst, Tanja</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Sensor data set of 3 electromechanical cylinder at ZeMA testbed (2kHz)</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-met4fof</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p><strong>General information on the data set</strong></p> <p>The data set was generated at the ZeMA testbed. A working cycle lasts 2.8s and consists of a forward stroke, a waiting time and a return stroke. The data set does not consist of the entire working cycles. Only one second of the return stroke of each working cycle is used.</p> <p>&nbsp;</p> <p><strong>Structure of the data</strong></p> <ul> <li>data saved in three HDF5 file as a 3D-matrix, one file is for one axis</li> <li>one row represents one second of the return stroke of one working cycle<br> axis 3: 6292 cycles<br> axis 5: 6083 cycles<br> axis 7: 5732 cycles</li> <li>one column represents one datapoint of the cycle, that is resampled to 2 kHz (2000 columns)</li> <li>one page represent one sensor (11 pages: 11 sensors)</li> </ul> <p>&nbsp;</p> <p><strong>Allocation of the pages to the sensors</strong></p> <p>page 1: microphone<br> page 2: acceleration plain bearing<br> page 3: acceleration piston rod<br> page 4: acceleration ball bearing<br> page 5: axial force<br> page 6: pressure<br> page 7: velocity<br> page 8: active current<br> page 9: motor current phase 1<br> page 10: motor current phase 2<br> page 11: motor current phase 3</p> <p>&nbsp;</p> <p><strong>Remark</strong></p> <p>The datasets are not in SI units. For conversion, you can use the PDF documentation.</p> <p>&nbsp;</p> <p><strong>Further information</strong></p> <p>For an introduction and tutorial to this data, a set of Jupyter notebooks is available <a href="https://github.com/harislulic/ZeMA-machine-learning-tutorials">here</a>. These notebooks contain Python code and a documentation of example machine learning tasks and analysis of this data set. In the near future, these will be extended to also include uncertainties in the input data.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.2702225</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3929385</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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