Acoustic and ultrasonic techniques for defect detection and condition monitoring in water and sewerage pipes: A review
Condition monitoring for water and sewerage pipes is essential for the safety of the
environment, energy conservation and human health. This paper focuses on the application …
environment, energy conservation and human health. This paper focuses on the application …
Transient wave-based methods for anomaly detection in fluid pipes: A review
Over the years, anomaly detection of fluid pipes has been a focus of water authorities as well
as oil and gas operators to advance the operation and management of these mechanical …
as oil and gas operators to advance the operation and management of these mechanical …
Rewards, risks and responsible deployment of artificial intelligence in water systems
CE Richards, A Tzachor, S Avin, R Fenner - Nature Water, 2023 - nature.com
Artificial intelligence (AI) is increasingly proposed to address deficiencies across water
systems, which currently leave about 25% of the global population without clean water …
systems, which currently leave about 25% of the global population without clean water …
Leakage detection in water distribution systems based on time–frequency convolutional neural network
Effectively detecting leaks is critical to improving leakage control management. Acoustic
detection is one of the main leakage detection methods, and has been widely used in water …
detection is one of the main leakage detection methods, and has been widely used in water …
Deep learning identifies leak in water pipeline system using transient frequency response
Pipeline leak identification method using transient frequency response (TFR) has been
researched in the past two decades. To extend this method to a more general water pipeline …
researched in the past two decades. To extend this method to a more general water pipeline …
Leak detection methods in water distribution networks: a comparative survey on artificial intelligence applications
Essentially, water is an extremely vital resource for human beings. However, each year, a
significant amount of water is lost because of leakages in multiple water distribution systems …
significant amount of water is lost because of leakages in multiple water distribution systems …
Layerwise security protection for deep neural networks in industrial cyber physical systems
Although deep neural networks (DNNs) have been increasingly applied in industrial cyber
physical systems (ICPSs), they are vulnerable to security attacks due to the tight interaction …
physical systems (ICPSs), they are vulnerable to security attacks due to the tight interaction …
Application of CNN models to detect and classify leakages in water pipelines using magnitude spectra of vibration sound
Conventional schemes to detect leakage in water pipes require leakage exploration experts.
However, to save time and cost, demand for sensor-based leakage detection and automated …
However, to save time and cost, demand for sensor-based leakage detection and automated …
Unsupervised Learning–Based Plant Pipeline Leak Detection Using Frequency Spectrum Feature Extraction and Transfer Learning
The deterioration of power generation facilities built during the early stages of plant
operation is becoming increasingly severe, raising concerns about potential socioeconomic …
operation is becoming increasingly severe, raising concerns about potential socioeconomic …
Leveraging machine learning for pipeline condition assessment
Pipeline condition assessment is a cost-effective method to determine the status of pipeline
structure and predict failure probability. Although 100% inspection may not be feasible for …
structure and predict failure probability. Although 100% inspection may not be feasible for …