Health condition monitoring of a complex hydraulic system using Deep Neural Network and DeepSHAP explainable XAI

AT Keleko, B Kamsu-Foguem, RH Ngouna… - Advances in Engineering …, 2023 - Elsevier
This paper presents a detailed framework for Condition Monitoring (CM) based on hydraulic
systems and multi-sensor data. Nowadays, the CM technique is increasingly deployed for …

Fault diagnosis of hydraulic systems based on deep learning model with multirate data samples

K Huang, S Wu, F Li, C Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Hydraulic systems are a class of typical complex nonlinear systems, which have been widely
used in manufacturing, metallurgy, energy, and other industries. Nowadays, the intelligent …

Tackling industrial downtimes with artificial intelligence in data-driven maintenance

MA Hoffmann, R Lasch - ACM Computing Surveys, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) approaches in industrial maintenance for fault
detection and prediction has gained much attention from scholars and practitioners. This …

Anomaly detection with feature extraction based on machine learning using hydraulic system IoT sensor data

D Kim, TY Heo - Sensors, 2022 - mdpi.com
Hydraulic systems are advanced in function and level as they are used in various industrial
fields. Furthermore, condition monitoring using internet of things (IoT) sensors is applied for …

[HTML][HTML] Computer vision system for welding inspection of liquefied petroleum gas pressure vessels based on combined digital image processing and deep learning …

YJ Cruz, M Rivas, R Quiza, G Beruvides, RE Haber - Sensors, 2020 - mdpi.com
One of the most important operations during the manufacturing process of a pressure vessel
is welding. The result of this operation has a great impact on the vessel integrity; thus …

Action research of lean 4.0 application to the maintenance of hydraulic systems in steel industry

NMM Torre, A Bonamigo - Journal of Quality in Maintenance …, 2024 - emerald.com
Purpose Maintenance represents an indispensable role in the productive sector of the steel
industry. The increasing use of operating with a high level of precision makes hydraulic …

High-sensitivity and high-resolution triboelectric acoustic sensor for mechanical equipment monitoring

R Shen, S He, Y Luo, Z He, Y Gong, G Dai - Nano Energy, 2025 - Elsevier
Traditional sensors for mechanical equipment monitoring often face challenges such as high
cost, difficult installation and removal, and reliance on power sources. Herein, we introduced …

Sensor technologies for hydraulic valve and system performance monitoring: Challenges and perspectives

J Liu, C Yuan, L Matias, C Bowen… - Advanced Sensor …, 2024 - Wiley Online Library
Hydraulic fluid power systems are essential for a range of engineering applications such as
transportation, heavy industry, and robotics. The scale of the industry is such that hydraulic …

[HTML][HTML] A data-driven simulation and Gaussian process regression model for hydraulic press condition diagnosis

D Jankovič, M Šimic, N Herakovič - Advanced Engineering Informatics, 2024 - Elsevier
Improving overall performance and increasing operational reliability are currently among the
leading research topics in the field of hydraulic systems. In recent years, the use of artificial …

A taxonomy and archetypes of business analytics in smart manufacturing

J Wanner, C Wissuchek, G Welsch… - ACM SIGMIS Database …, 2023 - dl.acm.org
Fueled by increasing data availability and the rise of technological advances for data
processing and communication, business analytics is a key driver for smart manufacturing …