Results 1 to 10 of about 629,196 (208)

Fault Classification for Cooling System of Hydraulic Machinery Using AI [PDF]

open access: yesSensors (Basel), 2023
Hydraulic systems are used in all kinds of industries. Mills, manufacturing, robotics, and Ports require the use of Hydraulic Equipment. Many industries prefer to use hydraulic systems due to their numerous advantages over electrical and mechanical ...
H. Khan   +5 more
semanticscholar   +2 more sources

Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers [PDF]

open access: yesSensors (Basel), 2020
Anomaly occurrences in hydraulic machinery might lead to massive system shut down, jeopardizing the safety of the machinery and its surrounding human operator(s) and environment, and the severe economic implications following the faults and their ...
Ahlam Mallak, M. Fathi
semanticscholar   +2 more sources

An Integrated Flow Analysis System for the Recalculation of Hydraulic Machinery Bladings [PDF]

open access: goldInternational Journal of Rotating Machinery, 1996
The present paper deals with the recalculation of hydraulic machinery bladings. By combining numerical tools for the geometrical description of the bladings, mesh generation, different CFD flow models (Q3D Euler, 3D Euler, Navier-Stokes) and post ...
H. Haas   +4 more
doaj   +2 more sources

Application of Condition Monitoring for Hydraulic Oil Using Tuning Fork Sensor: A Study Case on Hydraulic System of Earth Moving Machinery [PDF]

open access: goldMaterials, 2022
In this study, we focus on the correctness of oil condition monitoring, specifically of a tuning forks sensor in hydraulic systems. We also aim to analyze the correlation between the online monitoring sensor signal and offline oil analysis by ...
Hong-Gyu Jeon   +4 more
semanticscholar   +2 more sources

An Impedance Sensor for Distinguishing Multi-Contaminants in Hydraulic Oil of Offshore Machinery [PDF]

open access: goldMicromachines, 2021
The cleanliness of hydraulic oil can reflect the service life of the oil and the wear state of hydraulic machinery. An impedance sensor is proposed to distinguish multi-contaminants in hydraulic oil.
Haotian Shi   +6 more
semanticscholar   +2 more sources

Data-Driven Modal Decomposition Methods as Feature Detection Techniques for Flow Fields in Hydraulic Machinery: A Mini Review [PDF]

open access: goldJournal of Marine Science and Engineering
Cavitation is a quasi-periodic process, and its non-stationarity leads to increasingly complex flow field structures. On the other hand, characterizing the flow field with greater precision has become increasingly feasible.
Bin Xu   +4 more
semanticscholar   +2 more sources

Three-Dimensional Inverse Design Method for Hydraulic Machinery [PDF]

open access: goldEnergies, 2019
Hydraulic machinery with high performance is of great significance for energy saving. Its design is a very challenging job for designers, and the inverse design method is a competitive way to do the job.
Wei Yang, Benqing Liu, R. Xiao
semanticscholar   +2 more sources

Engine Speed Reduction for Hydraulic Machinery Using Predictive Algorithms

open access: bronzeInternational Journal of Hydromechatronics, 2019
This paper presents an analysis of the potential for engine speed reduction in hydraulic equipment, taking into account not only the minimum engine speed required to meet the current flow demand, but also the minimum speed capable of accelerating the ...
T. Wiens
semanticscholar   +2 more sources

Simulation Analysis of a Self-balancing Hydraulic Platform for Agricultural Machinery in Mountainous Regions

open access: bronzeJournal Europeen des Systemes Automatises, 2020
Ruchen Chen   +4 more
semanticscholar   +3 more sources

Cavitation detection in hydraulic machinery by analyzing acoustic emissions under strong domain shifts using neural networks

open access: yesThe Physics of Fluids, 2023
We propose a novel, general-purpose framework for cavitation detection in a wide variety of hydraulic machinery by analyzing their acoustic emissions with convolutional neural networks.
Lukas Gaisser   +2 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy