Dataset: Rare Event Classification in Multivariate Time Series

Chitta Ranjan; Mahendranath Reddy; Markku Mustonen; Kamran Paynabar; Karim Pourak

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arXiv · 1809.10717

Dataset: Rare Event Classification in Multivariate Time Series

Chitta Ranjan·Mahendranath Reddy·Markku Mustonen·Kamran Paynabar·Karim Pourak

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Abstract

A real-world dataset is provided from a pulp-and-paper manufacturing industry. The dataset comes from a multivariate time series process. The data contains a rare event of paper break that commonly occurs in the industry. The data contains sensor readings at regular time-intervals (x's) and the event label (y). The primary purpose of the data is thought to be building a classification model for early prediction of the rare event. However, it can also be used for multivariate time series data exploration and building other supervised and unsupervised models.

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Chitta Ranjan, Mahendranath Reddy, Markku Mustonen, Kamran Paynabar, Karim Pourak. 2018-09-27. Dataset: Rare Event Classification in Multivariate Time Series. https://arxiv.org/abs/1809.10717

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