A new sensor fault diagnosis method for gas leakage monitoring based on the naive Bayes and probabilistic neural network classifier

Q Tan, X Mu, M Fu, H Yuan, J Sun, G Liang, L Sun - Measurement, 2022 - Elsevier
Gas monitoring sensor is prone to failure and its fault type is difficult to identify due to harsh
working condition. In this work, a new sensor fault diagnosis method for gas leakage …

A new leak recognition method for natural gas pipelines in the urban underground space based on probabilistic neural network

Q Tan, M Fu, X Chen, H Yuan, G Liang, J Sun - Journal of Loss Prevention …, 2023 - Elsevier
Natural gas leakage is one of the sources of combustible gas in the underground spaces,
which can easily lead to dangerous explosions and fatal accidents. Recognizing the natural …

Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network

J Zhou, H Lin, S Li, H Jin, B Zhao, S Liu - Reliability Engineering & System …, 2023 - Elsevier
Leakage is a potential accident affecting gas pipeline reliability. To diagnose leakage of the
main gas extraction pipeline in coal mines, a pipeline leakage diagnosis method based on …

[HTML][HTML] Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks

J Wan, Y Yu, Y Wu, R Feng, N Yu - Sensors, 2011 - mdpi.com
In light of the problems of low recognition efficiency, high false rates and poor localization
accuracy in traditional pipeline security detection technology, this paper proposes a type of …

A model-based health indicator for leak detection in gas pipeline systems

R Xiao, Q Hu, J Li - Measurement, 2021 - Elsevier
Leakage in gas pipelines is becoming a significant issue and has attracted much attention in
recent years. This paper is concerned with the development of a robust health indicator for …

Leak detection of gas pipelines using acoustic signals based on wavelet transform and Support Vector Machine

R Xiao, Q Hu, J Li - Measurement, 2019 - Elsevier
Leak detection of gas pipelines has attracted extensive attention in recent years because
such a leak could result in significant damage to society. This paper proposes an integrated …

Pipeline leak diagnosis based on wavelet and statistical features using Dempster–Shafer classifier fusion technique

M Zadkarami, M Shahbazian, K Salahshoor - Process safety and …, 2017 - Elsevier
Leaks in hydrocarbon transporting pipelines cause major problems including environmental
hazards and financial losses. Many leakage diagnosis methods try to detect the leaks with a …

A novel acoustic emission detection module for leakage recognition in a gas pipeline valve

Z Li, H Zhang, D Tan, X Chen, H Lei - Process Safety and Environmental …, 2017 - Elsevier
Internal valve leakage in a natural gas pipeline seriously impairs the safe operation on
pipelines, and the recognition of leakages has therefore been a major concern of the …

Fault diagnosis of gas pressure regulators based on CEEMDAN and feature clustering

S Tian, X Bian, Z Tang, K Yang, L Li - IEEE Access, 2019 - ieeexplore.ieee.org
Gas pressure regulators are widely applied in natural gas pipeline networks,
correspondingly, establishing an efficient fault diagnosis approach of regulators plays a …

[HTML][HTML] Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features

TB Quy, JM Kim - Sensors, 2021 - mdpi.com
This paper introduces a technique using ak-nearest neighbor (k-NN) classifier and hybrid
features extracted from acoustic emission (AE) signals for detecting leakages in a gas …