zhangzhixia
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- Associate Professor
- Supervisor of Master's Candidates
- Name (Pinyin):zhangzhixia
- School/Department:管理学院
- Education Level:With Certificate of Graduation for Doctorate Study
- Business Address:教学西楼213
- Degree:Doctoral degree
- Professional Title:Associate Professor
- Status:Employed
- Alma Mater:西安建筑科技大学
- Teacher College:管理学院
- Discipline:Management Science and Engineering
Other Contact Information
- Email：
- Paper Publications
Predictive Maintenance of Gas Pipeline Based on Neural Network
Release time:2024-08-09 Hits:
- Affiliation of Author(s):管理学院
- Journal:2010 Second ETP/IITA World Congress in Applied Computing,Computer Science,and Computer Engineering
- Key Words:中文关键字：天然气管道；BP神经网络；状态预测，英文关键字：gas pipeline, BP neutral network, state prediction
- Abstract:Predictive maintenance is an important part of risk management in the fields of natural gas transmission. This paper introduces an effective, real-time, predictive maintenance system based on the artificial neutral network. The aim of the proposed system is to localize and detect normal operational conditions in order to predict mechanical abnormalities lead to the failure of the pipeline. The most common three-phase BP neutral network is taken as the research object, which selects a lot of maintenance sample to train by means of BP neutral network, predicts equipment state and failure time in the future. Training the external coating detecting data of a city, the calculation result shows that it is effective to predict maintenance state of gas pipeline by BP neutral network. Considering the character of gas pipeline underground, BP model is more effective and will be widely used in thermal explosion study.
- Note:张志霞
- First Author:zhangyan,zhangzhixia
- Indexed by:Journal paper
- Volume:卷：
- Issue:期：
- Page Number:页：
- Translation or Not:no
- Date of Publication:2010-04-01