Results 31 to 40 of about 3,273,797 (200)
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
, 2023 It is essential to accurately diagnose bearing faults to avoid property losses or casualties in the industry caused by motor failures. Recently, the methods of fault diagnosis for bearings using deep learning methods have improved the safety of motor ...
Guangjie Han, Aohan Li, Xianzhang Zhou
core +1 more source
A Method of Information Fusion Based on Fuzzy Neural Network and Its Application
ITM Web of Conferences, 2017 In view of the limitation of fault diagnosis methods in substation intelligent patrol system, a fault diagnosis method based on multi-sensors information fusion is proposed.
Gao Ji-Pu +5 more
doaj +1 more source
Polish Maritime Research, 2017 Aiming at the problem of inaccurate and time-consuming of the fault diagnosis method for large-scale ship engine, an intelligent diagnosis method for large-scale ship engine fault in non-deterministic environment based on neural network is proposed ...
Feng Donghua, Li Yahong
doaj +1 more source
ShuffleNet‐based comprehensive diagnosis for insulation and mechanical faults of power equipment
High Voltage, 2021 Despite the complicated fault mechanism of power equipment, with the increasing promotion and development of the Ubiquitous Power Internet of Things (UPIoT), the fault information of power equipment can be instantly saved, which makes possible ...
Yanxin Wang +4 more
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Intelligent Fault Diagnosis System using BEMD based Thermal Image Enhancement And Support Vector Machines [PDF]
This study proposes an investigation of a novel thermal image enhancement based on bi-dimensional empirical mode decomposition (BEMD) and applies this method for rotating machinery fault diagnosis system.
Tran, Van Tung
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Machines, 2022 Transfer learning is a topic that has attracted attention for the intelligent fault diagnosis of bearings since it addresses bearing datasets that have different distributions.
Yuanfei Wang +3 more
doaj +1 more source
Intelligent Fault Diagnosis of Rolling Bearing Based on Gramian Angular Difference Field and Improved Dual Attention Residual Network. [PDF]
Sensors (Basel)With the rapid development of smart manufacturing, data-driven deep learning (DL) methods are widely used for bearing fault diagnosis. Aiming at the problem of model training crashes when data are imbalanced and the difficulty of traditional signal ...
Tong A, Zhang J, Xie L.
europepmc +2 more sources
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 +3 more
doaj +1 more source
The research and application of intelligent fault diagnosis methods
浙江大学学报. 农业与生命科学版, 2003 The main point of intelligent fault diagnosis theory is fault mode distinguish principle based on data processing methods. Data processing methods mainly include wavelet analysis, main component analysis and rough theory.
HE Yong, LI Zeng-fang
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Intelligent fault diagnosis of marine equipments
Maritime Transport ConferenceThe 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 +2 more
openaire +3 more sources