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General information on the data set
\n\nThe 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.
\n\n\n\n
Structure of the data
\n\n\n\n
Allocation of the pages to the sensors
\n\npage 1: microphone
\npage 2: acceleration plain bearing
\npage 3: acceleration piston rod
\npage 4: acceleration ball bearing
\npage 5: axial force
\npage 6: pressure
\npage 7: velocity
\npage 8: active current
\npage 9: motor current phase 1
\npage 10: motor current phase 2
\npage 11: motor current phase 3
\n\n
Remark
\n\nThe datasets are not in SI units. For conversion, you can use the PDF documentation.
\n\n\n\n
Further information
\n\nFor an introduction and tutorial to this data, a set of Jupyter notebooks is available here. 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.
", "publication_date": "2019-05-10", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "dynamic measurement, measurement uncertainty, sensor network, digital sensors, MEMS, machine learning, European Union (EU), Horizon 2020, EMPIR" } ], "title": "Sensor data set of 3 electromechanical cylinder at ZeMA testbed (2kHz)" }, "parent": { "access": { "owned_by": { "user": 50256 } }, "communities": { "default": "636c3cf1-f9a7-4007-98f5-a2d186ca911f", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2018-06-25T05:45:41.574375+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "636c3cf1-f9a7-4007-98f5-a2d186ca911f", "links": {}, "metadata": { "curation_policy": "Uploads are accepted by the EMPIR Met4FoF management board. Data sets need to be sufficiently described, related to the IIoT and adhere the FAIR principles.
\r\n\r\nContact sascha.eichstaedt@ptb.de for more information and to request an upload.
\r\n", "page": "This collection provides measured and simulated data sets related to measurement uncertainty analysis for industrial internet of things (IIoT) or factory of the future environments. Data sets from this community will be continuously curated and updated where necessary.
\r\n\r\nThe community belongs to the EMPIR project "Metrology for the Factory of the Future" (Met4FoF) running 06/18 - 05/21 and co-funded by the European Union and the EURAMET member states.
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