Results 21 to 30 of about 7,478 (267)

Intelligent Diagnosis of Rotating Machinery Based on Optimized Adaptive Learning Dictionary and 1DCNN

Applied Sciences, 2021
In the intelligent fault diagnosis of rotating machinery, it is difficult to extract early weak fault impact features of rotating machinery under the interference of strong background noise, which makes the accuracy of fault identification low.
Hongchao Wang, Chuang Liu, Wenliao Du, Shuangyuan Wang   +3 more
doaj   +1 more source

Intelligent fault diagnosis of marine equipments

Maritime Transport Conference
The automatic and intelligent diagnosis of faults in marine equipment is a task that is considered to be of great importance considering the numerous tasks that are associated with professionals working on ships. The possibility of including automatic and intelligent processes on a ship makes it possible to monitor equipment more effectively and make ...
Mendonça, Luis, Vieira, S. M., Sousa, J. M. C.   +2 more
openaire   +3 more sources

Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

Advances in Mechanical Engineering, 2020
Identification of rolling bearing fault patterns, especially for the compound faults, has attracted notable attention and is still a challenge in fault diagnosis.
HongChao Wang, WenLiao Du
doaj   +1 more source

Research on Improved Deep Convolutional Generative Adversarial Networks for Insufficient Samples of Gas Turbine Rotor System Fault Diagnosis

Applied Sciences, 2022
In gas turbine rotor systems, an intelligent data-driven fault diagnosis method is an important means to monitor the health status of the gas turbine, and it is necessary to obtain sufficient fault data to train the intelligent diagnosis model.
Shucong Liu, Hongjun Wang, Xiang Zhang
doaj   +1 more source

Intelligent Agents for Network Fault Diagnosis and Testing [PDF]

, 1997
In modern complex networks remote control testing and diagnosis is necessary for efficiency. In this paper we propose the use of Intelligent Agents to carry out these tasks. These autonomous intelligent or programmable agents allow for full flexibility in unplanned conditions.
Garry Grimes, Brian P. Adley
openaire   +1 more source

Design of remote monitoring and intelligent fault diagnosis system for hoist group

Gong-kuang zidonghua, 2013
In view of problems that existing hoist monitoring system is limited to on-site monitoring, part of the faults are difficult to detect and deal timely, a design scheme of remote monitoring and intelligent fault diagnosis system for hoist group based on ...
WANG Bao-de
doaj   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Adaptive Multi-Channel Residual Shrinkage Networks for the Diagnosis of Multi-Fault Gearbox

Applied Sciences, 2023
Intelligent fault diagnosis is a hot research topic in machinery and equipment health monitoring. However, most intelligent fault diagnosis models have good performance in single fault mode, but poor performance in multiple fault modes.
Wenxian Chen, Kuangchi Sun, Xinxin Li, Yanan Xiao, Jiangshu Xiang, Hanling Mao   +5 more
doaj   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions

Sensors, 2020
Planetary gearbox is a critical component for many mechanical systems. It is essential to monitor the planetary gearbox health and performance in order to maintain the whole machine works well.
Weigang Wen, Yihao Bai, Weidong Cheng
doaj   +1 more source