标题
Artificial intelligence for the modeling of water pipes deterioration mechanisms
作者
关键词
Artificial intelligence, Machine learning, Pipe failure, Condition assessment, Water Main deterioration, Infrastructure, State-of-the-art review
出版物
AUTOMATION IN CONSTRUCTION
Volume 120, Issue -, Pages 103398
出版商
Elsevier BV
发表日期
2020-09-12
DOI
10.1016/j.autcon.2020.103398
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。- A review on pipeline integrity management utilizing in-line inspection data
- (2018) Mingjiang Xie et al. ENGINEERING FAILURE ANALYSIS
- Novel Leakage Detection by Ensemble CNN-SVM and Graph-Based Localization in Water Distribution Systems
- (2018) Jiheon Kang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Computer Vision–Based Model for Moisture Marks Detection and Recognition in Subway Networks
- (2018) Thikra Dawood et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Leak detection of water distribution pipeline subject to failure of socket joint based on acoustic emission and pattern recognition
- (2018) Suzhen Li et al. MEASUREMENT
- An accelerometer-based leak detection system
- (2018) Samer El-Zahab et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Estimation of Leakage Ratio Using Principal Component Analysis and Artificial Neural Network in Water Distribution Systems
- (2018) et al. Sustainability
- Fuzzy-Based Robustness Assessment of Buried Pipelines
- (2018) Kong Fah Tee et al. Journal of Pipeline Systems Engineering and Practice
- A Blended Risk Index Modeling and Visualization Based on Hierarchical Fuzzy Logic for Water Supply Pipelines Assessment and Management
- (2018) Muhammad Fayaz et al. Processes
- Underground Risk Index Assessment and Prediction Using a Simplified Hierarchical Fuzzy Logic Model and Kalman Filter
- (2018) Muhammad Fayaz et al. Processes
- Fuzzy-Based Methodology for Integrated Infrastructure Asset Management
- (2017) Mohamed Marzouk et al. International Journal of Computational Intelligence Systems
- Extreme learning machine model for water network management
- (2017) Ahmed M. A. Sattar et al. NEURAL COMPUTING & APPLICATIONS
- Leakage detection and localization on water transportation pipelines: a multi-label classification approach
- (2017) Fatih Kayaalp et al. NEURAL COMPUTING & APPLICATIONS
- Assessment of Remaining Useful Life of Pipelines Using Different Artificial Neural Networks Models
- (2016) Zahra Zangenehmadar et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Leakage Zone Identification in Large-Scale Water Distribution Systems Using Multiclass Support Vector Machines
- (2016) Qingzhou Zhang et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Fuzzy inference-based approach to the mining-induced pipeline failure estimation
- (2016) A. A. Malinowska NATURAL HAZARDS
- Leakage Zone Identification in Large-Scale Water Distribution Systems Using Multiclass Support Vector Machines
- (2016) Qingzhou Zhang et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Neural network approach for failure rate prediction
- (2015) Małgorzata Kutyłowska ENGINEERING FAILURE ANALYSIS
- Prediction of stress concentration factor of corrosion pits on buried pipes by least squares support vector machine
- (2015) Jian Ji et al. ENGINEERING FAILURE ANALYSIS
- State-of-the-art review of water pipe failure prediction models and applicability to large-diameter mains
- (2015) D. Wilson et al. Urban Water Journal
- A comparison between performance of support vector regression and artificial neural network in prediction of pipe burst rate in water distribution networks
- (2014) Akbar Shirzad et al. KSCE Journal of Civil Engineering
- Estimation of Failure Rate in Water Distribution Network Using Fuzzy Clustering and LS-SVM Methods
- (2014) Mahmut Aydogdu et al. WATER RESOURCES MANAGEMENT
- Development of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines
- (2014) Alison M. St. Clair et al. Journal of Pipeline Systems Engineering and Practice
- Review of statistical water main break prediction models
- (2013) Michael Nishiyama et al. CANADIAN JOURNAL OF CIVIL ENGINEERING
- Forecasting watermain failure using artificial neural network modelling
- (2013) Ahmad Asnaashari et al. Canadian Water Resources Journal
- Predicting the Timing of Water Main Failure Using Artificial Neural Networks
- (2013) Richard Harvey et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- LEAK DETECTION IN SIMULATED WATER PIPE NETWORKS USING SVM
- (2012) John Mashford et al. APPLIED ARTIFICIAL INTELLIGENCE
- State-of-the-Art Review of Technologies for Pipe Structural Health Monitoring
- (2012) Zheng Liu et al. IEEE SENSORS JOURNAL
- Failure Analysis, Condition Assessment Technologies, and Performance Prediction of Prestressed-Concrete Cylinder Pipe: State-of-the-Art Literature Review
- (2012) Shaoqing Ge et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- State of the art review of inspection technologies for condition assessment of water pipes
- (2012) Zheng Liu et al. MEASUREMENT
- Condition assessment of the buried utility service infrastructure
- (2012) T. Hao et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- State-of-the-technology review on water pipe condition, deterioration and failure rate prediction models!
- (2012) Alison M. St. Clair et al. Urban Water Journal
- Water Distribution System Reliability Based on Minimum Cut – Set Approach and the Hydraulic Availability
- (2012) Stavros Yannopoulos et al. WATER RESOURCES MANAGEMENT
- A fuzzy-based decision support model for engineering asset condition monitoring – A case study of examination of water pipelines
- (2011) H.C.W. Lau et al. EXPERT SYSTEMS WITH APPLICATIONS
- Novelty detection for time series data analysis in water distribution systems using support vector machines
- (2011) Stephen R. Mounce et al. JOURNAL OF HYDROINFORMATICS
- Leakage detection and location in water distribution systems using a fuzzy-based methodology
- (2011) M. Shafiqul Islam et al. Urban Water Journal
- Application of Artificial Neural Networks (ANN) to model the failure of urban water mains
- (2010) Raed Jafar et al. MATHEMATICAL AND COMPUTER MODELLING
- Proactive Risk-Based Integrity Assessment of Water Distribution Networks
- (2010) Symeon Christodoulou et al. WATER RESOURCES MANAGEMENT
- Hierarchical Fuzzy Expert System for Risk of Failure of Water Mains
- (2010) Hussam Fares et al. Journal of Pipeline Systems Engineering and Practice
- Use of a GIS-based hybrid artificial neural network to prioritize the order of pipe replacement in a water distribution network
- (2009) Cheng-I Ho et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Forecasting the Remaining Useful Life of Cast Iron Water Mains
- (2009) Mohamed Fahmy et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Multiobjective Approach for Pipe Replacement Based on Bayesian Inference of Break Model Parameters
- (2009) Leila Dridi et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- A Neurofuzzy Decision Framework for the Management of Water Distribution Networks
- (2009) Symeon Christodoulou et al. WATER RESOURCES MANAGEMENT
- Pressure Management Model for Urban Water Distribution Networks
- (2009) Sara Nazif et al. WATER RESOURCES MANAGEMENT
- Assessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modeling
- (2008) M. Tabesh et al. JOURNAL OF HYDROINFORMATICS
- Infrastructure Management: Integrated AHP/ANN Model to Evaluate Municipal Water Mains’ Performance
- (2008) Hassan Al-Barqawi et al. Journal of Infrastructure Systems
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