FordA
收藏Zenodo2026-02-04 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.11191164
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资源简介：
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
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Zenodo创建时间：
2024-05-15
