Published October 2018
| Version v1
Dataset
Open
FordA
Authors/Creators
Description
This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/.
This data was originally used in a competition in the IEEE World Congress on Computational Intelligence, 2008. The classification problem is to diagnose whether a certain symptom exists or does not exist in an automotive subsystem. Each case consists of 500 measurements of engine noise and a classification. There are two separate problems:
For FordA the train and test data set were collected in typical operating conditions, with minimal noise contamination.
Donator: A. Bagnall
Files
Files
(27.5 MB)
| Name | Size | Download all |
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md5:a781b68879d0d64c40d2d9ae1240a5d8
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7.4 MB | Download |
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md5:b587b60f7bb7292ca0587d1b89eac041
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20.1 MB | Download |
Additional details
Related works
- Is part of
- Publication: 10.1109/JAS.2019.1911747 (DOI)