Results 41 to 50 of about 3,273,797 (200)
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
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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
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Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
, 2009 In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
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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
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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
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The fault detection and severity diagnosis of rolling element bearings using modulation signal bispectrum [PDF]
The rolling element bearing is a key part in many mechanical equipment. The accurate and timely diagnosis of its faults is critcal for predictive maintenance. Vibration signals from a defective bearing with a localized fault contain a series of impulsive
Gu, Fengshou +3 more
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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
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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 +5 more
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Convolutional Neural Network in Intelligent Fault Diagnosis Toward Rotatory Machinery
IEEE Access, 2020 Rotating machinery is of vital importance in the field of engineering, including aviation and navigation. Its failure will lead to severe loss to personnel safety and the stability of the equipment system.
Shengnan Tang, Shouqi Yuan, Yong Zhu
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Journal of Marine Science and Engineering, 2023 The development of intelligent ships has an urgent demand for intelligent fault diagnosis technology. The working conditions and fault modes of high-power marine diesel engines gradually tend to be diversified and complicated, and the problems of ...
Yu Guo, Jundong Zhang
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