Studies on Leak Detection in Process Pipelines Using Artificial Neural Networks/Machine Learning

Abstract

In process industries, leakage in pipelines is common and an environmental, health and economic issue to be addressed without fail. To detect the presence of leaks in pipelines, there are several conventional leak detection techniques that are available. From the literature, conventional leak detection techniques can be mainly classified into: hardware-based, visual and software-based methods. Researchers have focused more on software-based methods due to simple and reliable operation. Under software-based methods, using machine learning algorithms that is a data driven approach for leak detection and localization is becoming popular because of learning capabilities. Therefore, in this review, several recent conventional leak detection methods and artificial neural networks/machine learning based leak detection methods are described. It is an attempt made to identify leak detection techniques along with the common methodology followed for building a leak detection system using artificial neural networks/machine learning.

Comprehensive Review of Hydrogen Leakage in Relation to Fuel Cell Vehicles and Hydrogen Refueling Stations: Status, Challenges, and Future Prospects

“…In the studies currently available, the diagnosis of FCVs and HRSs leakage mainly relies on HCS, but the number and layout of HCS and the direction of hydrogen flow out of the leakage can affect the accuracy of the diagnosis. − In addition to this, the soap bubble method, the odor method, the leakage sound method, and the pressure attenuation method are used for hydrogen storage system piping or valves. The soap bubble method involves in applying soapy water to hydrogen valves or lines with potential hydrogen leakage and diagnosing whether leakage occurs by observation and listening, but this method requires manual screening of the leakage area, which is overly dependent on labor and time consumption. , The odor method is to add an odorant to the hydrogen. A special odor will be smelled when leakage occurs to diagnose whether leakage occurs or not, but there is no relevant research information to show that the odorant will not be harmful to the interior of the fuel cell.…”