A CNN-based transfer learning method for leakage detection of pipeline under multiple working conditions with AE signals
出版年份 2022 全文链接
标题
A CNN-based transfer learning method for leakage detection of pipeline under multiple working conditions with AE signals
作者
关键词
-
出版物
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
Volume 170, Issue -, Pages 1161-1172
出版商
Elsevier BV
发表日期
2022-12-24
DOI
10.1016/j.psep.2022.12.070
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Gas leakage detection using spatial and temporal neural network model
- (2022) Alibek Kopbayev et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- A Copula-Bayesian approach for risk assessment of decommissioning operation of aging subsea pipelines
- (2022) Xinhong Li et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Numerical analysis of multi-factors effects on the leakage and gas diffusion of gas drainage pipeline in underground coal mines
- (2021) Jitao Cai et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Pipeline leak detection based on variational mode decomposition and support vector machine using an interior spherical detector
- (2021) Tianshu Xu et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Deformation characterization of oil and gas pipeline by ACM technique based on SSA-BP neural network model
- (2021) Jiaxing Xin et al. MEASUREMENT
- Operational subsea pipeline assessment affected by multiple defects of microbiologically influenced corrosion
- (2021) Mohammad Yazdi et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform
- (2020) Changhang Xu et al. IEEE SENSORS JOURNAL
- EEG based multi-class seizure type classification using convolutional neural network and transfer learning
- (2020) S. Raghu et al. NEURAL NETWORKS
- A representation transfer learning approach for enhanced prediction of growth hormone binding proteins
- (2020) Amisha Yadav et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Structural health evaluation of the prestressed concrete using advanced acoustic emission (AE) parameters
- (2020) Guofeng Ma et al. CONSTRUCTION AND BUILDING MATERIALS
- Transfer Learning for Drug Discovery
- (2020) Chenjing Cai et al. JOURNAL OF MEDICINAL CHEMISTRY
- Instance-based ensemble deep transfer learning network: A new intelligent degradation recognition method and its application on ball screw
- (2020) Li Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Chronic leak detection for single and multiphase flow: A critical review on onshore and offshore subsea and arctic conditions
- (2020) Niresh Behari et al. Journal of Natural Gas Science and Engineering
- Diagnosis of wind turbine faults with transfer learning algorithms
- (2020) Wanqiu Chen et al. RENEWABLE ENERGY
- An acoustic-homologous transfer learning approach for acoustic emission–based rail condition evaluation
- (2020) Si-Xin Chen et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Gas leak detection in galvanised steel pipe with internal flow noise using convolutional neural network
- (2020) Yanjue Song et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Recent Advances in Sensing and Assessment of Corrosion in Sewage Pipelines
- (2020) Sahar Foorginezhad et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- A novel location algorithm for pipeline leakage based on the attenuation of negative pressure wave
- (2019) Juan Li et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Localization of CO2 gas leakages through acoustic emission multi-sensor fusion based on wavelet-RBFN modeling
- (2019) Xiaojuan Han et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Transfer learning with deep manifold regularized auto-encoders
- (2019) Yi Zhu et al. NEUROCOMPUTING
- A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings
- (2019) Meidi Sun et al. MEASUREMENT
- Rail crack detection using acoustic emission technique by joint optimization noise clustering and time window feature detection
- (2019) Xin Zhang et al. APPLIED ACOUSTICS
- Artificial intelligence-based machine learning considering flow and temperature of the pipeline for leak early detection using acoustic emission
- (2018) Byunghyun Ahn et al. ENGINEERING FRACTURE MECHANICS
- A hierarchical Bayesian approach to modelling fate and transport of oil released from subsea pipelines
- (2018) Ehsan Arzaghi et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- A novel acoustic emission detection module for leakage recognition in a gas pipeline valve
- (2017) Zhenlin Li et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- An acoustic emission based multi-level approach to buried gas pipeline leakage localization
- (2016) Changhang Xu et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Natural gas pipeline leak aperture identification and location based on local mean decomposition analysis
- (2016) Jiedi Sun et al. MEASUREMENT
- Leak Detection in Water-Filled Small-Diameter Polyethylene Pipes by Means of Acoustic Emission Measurements
- (2016) Alberto Martini et al. Applied Sciences-Basel
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Natural gas pipeline small leakage feature extraction and recognition based on LMD envelope spectrum entropy and SVM
- (2014) Jiedi Sun et al. MEASUREMENT
- Acoustic Emission Leak Detection on a Metal Pipeline Buried in Sandy Soil
- (2012) Thomas M. Juliano et al. Journal of Pipeline Systems Engineering and Practice
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started