Data for: LSTM Based Encoder-Decoder for Short-Term Predictions of Gas Concentration using Multi-Sensor Fusion

Name: Data for: LSTM Based Encoder-Decoder for Short-Term Predictions of Gas Concentration using Multi-Sensor Fusion
Creator: Shanjun Mao
Published: 2020-02-24T06:48:30.990Z
Keywords: Safety, Mining

Mao, Shanjun; Chen, Ning; Li, Mei; Lyu, Pingyang

doi:10.17632/889jhhhpky.1

Data for: LSTM Based Encoder-Decoder for Short-Term Predictions of Gas Concentration using Multi-Sensor Fusion

Published: 24 February 2020| Version 1 | DOI: 10.17632/889jhhhpky.1

Contributors:

Shanjun Mao, Ning Chen, Mei Li, Pingyang Lyu

Description

This dataset contains four sensor information of a coal mine working face in China (from 2017-10-30 to 2017-11-18 ). And the sampling interval is 2 minutes.

Data for: LSTM Based Encoder-Decoder for Short-Term Predictions of Gas Concentration using Multi-Sensor Fusion

Description

Files

Categories

Licence