Related references
Note: Only part of the references are listed.Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network
Yiwei Cheng et al.
KNOWLEDGE-BASED SYSTEMS (2021)
A novel pipeline leak detection approach independent of prior failure information
Akhand Rai et al.
MEASUREMENT (2021)
Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features
Thang Bui Quy et al.
SENSORS (2021)
A comprehensive review of acoustic based leak localization method in pressurized pipelines
Zhongyu Hu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Gas leak detection in galvanised steel pipe with internal flow noise using convolutional neural network
Song Yanjue et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)
A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov-Smirnov Test
Akhand Rai et al.
SENSORS (2021)
A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures
Tuan-Khai Nguyen et al.
SENSORS (2021)
Water leak detection based on convolutional neural network (CNN) using actual leak sounds and the hold-out method
Y. W. Nam et al.
WATER SUPPLY (2021)
Pipeline leak detection based on variational mode decomposition and support vector machine using an interior spherical detector
Tianshu Xu et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)
Gearbox Fault Identification Framework Based on Novel Localized Adaptive Denoising Technique, Wavelet-Based Vibration Imaging, and Deep Convolutional Neural Network
Cong Dai Nguyen et al.
APPLIED SCIENCES-BASEL (2021)
A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning
Md Junayed Hasan et al.
IEEE ACCESS (2021)
A Pipeline Leak Detection and Localization Approach Based on Ensemble TL1DCNN
Mengfei Zhou et al.
IEEE ACCESS (2021)
Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms
Roya A. Cody et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2020)
An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform
Changhang Xu et al.
IEEE SENSORS JOURNAL (2020)
The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data
Tu T. N. Luong et al.
SENSORS (2020)
An acoustic emission activity detection method based on short-term waveform features: Application to metallic components under uniaxial tensile test
Fernando Pinal-Moctezuma et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Machine learning supported acoustic emission technique for leakage detection in pipelines
Nawal Kishor Banjara et al.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING (2020)
A comprehensive review on convolutional neural network in machine fault diagnosis
Jinyang Jiao et al.
NEUROCOMPUTING (2020)
Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal
Masoumeh Rahimi et al.
INFORMATICS-BASEL (2020)
Residual joint adaptation adversarial network for intelligent transfer fault diagnosis
Jinyang Jiao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A novel location algorithm for pipeline leakage based on the attenuation of negative pressure wave
Juan Li et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)
Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis
Jinyang Jiao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Leak Detection and Location Based on ISLMD and CNN in a Pipeline
Mengfei Zhou et al.
IEEE ACCESS (2019)
Leak detection of water distribution pipeline subject to failure of socket joint based on acoustic emission and pattern recognition
Suzhen Li et al.
MEASUREMENT (2018)
Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection
T. K. Chan et al.
IEEE ACCESS (2018)
Leak Detection in Water-Filled Small-Diameter Polyethylene Pipes by Means of Acoustic Emission Measurements
Alberto Martini et al.
APPLIED SCIENCES-BASEL (2017)
Water Ingress Detection in Low-Pressure Gas Pipelines Using Distributed Temperature Sensing System
Libo Wang et al.
IEEE SENSORS JOURNAL (2017)
Element analysis: a wavelet-based method for analysing time-localized events in noisy time series
Jonathan M. Lilly
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2017)
Injurious or Noninjurious Defect Identification From MFL Images in Pipeline Inspection Using Convolutional Neural Network
Jian Feng et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
Acoustic emission-based condition monitoring methods: Review and application for low speed slew bearing
Wahyu Caesarendra et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method
Hao Jin et al.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2014)
Natural gas pipeline small leakage feature extraction and recognition based on LMD envelope spectrum entropy and SVM
Jiedi Sun et al.
MEASUREMENT (2014)
Detecting natural crack initiation and growth in slow speed shafts with the Acoustic Emission technology
M. Elforjani et al.
ENGINEERING FAILURE ANALYSIS (2009)
Detecting leaks in plastic pipes
O Hunaidi et al.
JOURNAL AMERICAN WATER WORKS ASSOCIATION (2000)
Share Paper
