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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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
processing and communication, business analytics is a key driver for smart manufacturing …