Predicting pipeline leakage in petrochemical system through GAN and LSTM

Authors

Keywords

Fault prediction, Pipeline leakage, GAN, LSTM

Journal

Volume 175, Issue -, Pages 50-61

Publisher

Elsevier BV

Online

2019-04-12

DOI

10.1016/j.knosys.2019.03.013

Contact the author

Explore over 38,000 international journals covering a vast array of academic fields.

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now