Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques

MY Salman, H Hasar - Sustainable Cities and Society, 2023 - Elsevier
Increasing urban populations due to factors such as more comfortable life and immigration
have turned self-sufficient traditional cities into mega-cities and caused several new …

Applications of machine learning to water resources management: A review of present status and future opportunities

AA Ahmed, S Sayed, A Abdoulhalik, S Moutari… - Journal of Cleaner …, 2024 - Elsevier
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective

Y Wu, X Ma, G Guo, T Jia, Y Huang, S Liu, J Fan, X Wu - Water Research, 2024 - Elsevier
Against the backdrop of severe leakage issue in water distribution systems (WDSs),
numerous researchers have focused on the development of deep learning-based acoustic …

Pipeline leak detection method based on acoustic-pressure information fusion

WL Wang, Y Gao - Measurement, 2023 - Elsevier
Pipeline transportation is one of the essential transportation means, and accurate detection
of pipeline leaks is of great significance for energy safety and environmental protection …

Feature selection of acoustic signals for leak detection in water pipelines

Z Xu, H Liu, G Fu, Y Zeng, Y Li - Tunnelling and Underground Space …, 2024 - Elsevier
Water pipelines often have small cracks and leaks over time due to various degradation
process. Acoustic emission technique is an outstanding method in leak detection for low cost …

Water Flow Modeling and Forecast in a Water Branch of Mexico City through ARIMA and Transfer Function Models for Anomaly Detection

D Barrientos-Torres, EA Martinez-Ríos… - Water, 2023 - mdpi.com
Early identification of anomalies (such as leakages or sensor failures) in urban water
distribution systems is critical to mitigating water scarcity in cities and is a challenge in water …

Machine Learning Model for Leak Detection Using Water Pipeline Vibration Sensor

S Lee, B Kim - Sensors, 2023 - mdpi.com
Water leakage from aging water and wastewater pipes is a persistent problem, necessitating
the improvement of existing leak detection and response methods. In this study, we …

Research progress on coping strategies for the fluid-solid erosion wear of pipelines

H Yu, H Liu, S Zhang, J Zhang, Z Han - Powder Technology, 2023 - Elsevier
The pipeline is an essential device in chemical engineering and energy industries, which is
referred to as the “industrial arteries”. Under severe working conditions, fluid-solid erosion …

Identification of Pipeline Leak Sizes Based on Chaos-Grey Wolf-Support Vector Machine

X Han, J Liu, X Cui, Y Gao, Z Yan - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Accurately identifying pipeline leak size is of great significance for hazard assessment and
timely rescue. This article proposes an identification method of nonmetallic pipeline leak …

Fault-diagnosis method for rotating machinery based on SVMD entropy and machine learning

L Zhang, Y Zhang, G Li - Algorithms, 2023 - mdpi.com
Rolling bearings and gears are important components of rotating machinery. Their operating
condition affects the operation of the equipment. Fault in the accessory directly leads to …