Recurrent neural network-based model for estimating the life condition of a dry gas pipeline-Reference-Cited by-同舟云学术

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Recurrent neural network-based model for estimating the life condition of a dry gas pipeline

Published:2022-08 Issue: Volume:164 Page:639-650
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Shaik Nagoor Basha,Benjapolakul Watit,Pedapati Srinivasa Rao,Bingi Kishore,Thien Le Ngoc,Asdornwised Widhyakorn,Chaitusaney Surachai

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference65 articles.

1. A robust risk assessment methodology for safety analysis of marine structures under storm conditions;Abaei;Ocean Eng.,2018

2. An integrated method for human error probability assessment during the maintenance of offshore facilities;Abbassi;Process Saf. Environ. Prot.,2015

3. Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support;Abdullah;Atmosphere,2019

4. An integrated approach for dynamic economic risk assessment of process systems;Adedigba;Process Saf. Environ. Prot.,2018

5. Operational safety assessment of offshore pipeline with multiple MIC defects;Adumene;Comput. Chem. Eng.,2020

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