Dataset: Rare Event Classification in Multivariate Time Series

Code

• github.com/dvbckle/Process-Fault-Identification-with-CNN
  none★ 0
• github.com/ANONYMOUS-GURU/RareEventDetection
  tf★ 0
• github.com/ajayarunachalam/msda
  pytorch★ 0

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.

Tasks

Reproductions