Results 11 to 20 of about 98,534 (301)
Machines, 2022 An artificial-intelligence (AI)-based method for fault diagnosis is a strong candidate for industrial applications in the health management of rolling bearings.
Jiahui Tang +3 more
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Research Progress on Blade Damage Fault Detection Technology of Wind Turbine
发电技术, 2020 The methods of damage state detection and fault diagnosis of wind turbine blades were reviewed, and the research status and problems worthy of study were pointed out.
Changxing YANG, Luping LI
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Distributed Adaptive Fault-Tolerant Control of Uncertain Multi-Agent Systems [PDF]
, 2015 This paper presents an adaptive fault-tolerant control (FTC) scheme for a class of nonlinear uncertain multi-agent systems. A local FTC scheme is designed for each agent using local measurements and suitable information exchanged between neighboring ...
Cao, Yongcan +4 more
core +2 more sources
Single Fault Diagnosis Method of Sensors in Cascade System Based on Data-Driven
Sensors, 2021 The reliability and safety of the cascade system, which is widely applied, have attached attention increasingly. Fault detection and diagnosis can play a significant role in enhancing its reliability and safety. On account of the complexity of the double
Wenbo Na +4 more
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A distributed networked approach for fault detection of large-scale systems [PDF]
, 2016 Networked systems present some key new challenges in the development of fault diagnosis architectures. This paper proposes a novel distributed networked fault detection methodology for large-scale interconnected systems.
Boem, F +4 more
core +1 more source
Experimental set-up for investigation of fault diagnosis of a centrifugal pump [PDF]
, 2017 Centrifugal pumps are complex machines which can experience different types of fault. Condition monitoring can be used in centrifugal pump fault detection through vibration analysis for mechanical and hydraulic forces. Vibration analysis methods have the
Ali Saud Al Tobi, Maamer +4 more
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A Hierarchical Decision Fusion Diagnosis Method for Rolling Bearings
Applied Sciences, 2021 In order to achieve accurate fault diagnosis of rolling bearings, a hierarchical decision fusion diagnosis method for rolling bearings is proposed. The hierarchical back propagation neural networks (BPNNs) architecture includes a fault detection layer ...
Jingzhou Fei +3 more
doaj +1 more source
Chemical Engineering Transactions, 2018 To improve the fault diagnosis effect of transmission of coal cutter and ensure the smooth work of coal cutter, the detection and fault diagnosis system of transmission of coal cutter is designed and analyzed in this study.
Hongyan Zhou
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AFDX network equipment fault diagnosis technology
Xibei Gongye Daxue Xuebao, 2023 This paper focuses on the network equipment fault monitoring and diagnosis software, and studies the fault diagnosis of the monitored AFDX network based on the network algorithm. Firstly, the range fault characteristic parameters are designed to identify
HU Lei +6 more
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Methods for Fault Diagnosis in Mechanical Systems based on Deep Learning in the Absence or Class Imbalance of Fault Data [PDF]
한국정밀공학회지, 2023 Deep learning-based fault diagnosis systems for prognostics and health management of mechanical systems is an active research topic. Notably, the absence and class imbalance of fault data (insufficient fault data compared to normal data) have been shown ...
Yongjae Jeon +2 more
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