DATASET FOR FAULT CLASSIFICATION IN ROCK DRILLS (PHM2022 Data)

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Abstract 

The training data consists of data from various faults from five individual configurations, while the testing data is blind and is from one individual configuration of the rock drill.  A final validation data set will be from two individual configurations from the rock drill and the labels are blind. 

The training data set contains data from 11 different fault classification categories, in which 10 are different failure modes and one class is from the healthy/no fault condition. 

Each file follows the naming convention of data_{sensor}{individual impact cycle number}.csv.

For each CSV file that is provided, the first column is the label for that cycle, in which a label of 1 represents the no-fault condition, a label of 2-11 correspond to different fault types.  A label of 0, which is present for the testing data for the online leaderboard and the final validation data set, indicate an unknown/blind label, in which the objective is to predict the label for each cycle. The columns of data after the label represent the pressure signal data for that cycle. 

Instructions: 

This dataset had been used for the 2022 PHM Conference Data Challenge. Feel free to use this dataset for fault time series analysis.

Comments

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Submitted by shruti gumgaonkar on Tue, 07/16/2024 - 06:09

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Submitted by Junhyun Byun on Fri, 11/29/2024 - 03:07

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Submitted by Junhyun Byun on Fri, 11/29/2024 - 03:08