Results 1 to 10 of about 23,828 (166)
Fault Identification for a Closed-Loop Control System Based on an Improved Deep Neural Network [PDF]
Sensors, 2019 Fault identification for closed-loop control systems is a future trend in the field of fault diagnosis. Due to the inherent feedback adjustment mechanism, a closed-loop control system is generally very robust to external disturbances and internal noises.
Bowen Sun +4 more
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A novel approach for oil-based transformer fault identification in electrical secondary distribution networks [PDF]
HeliyonOil-immersed transformers are mostly installed equipment in electrical power networks. Thus, ensuring the reliability of these equipment is paramount. Fault identification is one of the measures taken to ensure the reliability.
Hadija Mbembati, Hussein Bakiri
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Fault Identification Ability of a Robust Deeply Integrated GNSS/INS System Assisted by Convolutional Neural Networks [PDF]
Sensors, 2019 The problem of fault propagation which exists in the deeply integrated GNSS (Global Navigation Satellite System)/INS (Inertial Navigation System) system makes it difficult to identify faults.
Xiaojun Zou, Baowang Lian, Peng Wu
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A novel intelligent fault identification method based on random forests for HVDC transmission lines. [PDF]
PLoS ONE, 2020 In order to remedy the current problem of having been buffeted by competing requirements for both protection sensitivity and quick reaction of High Voltage Direct Current (HVDC) transmission lines simultaneously, a new intelligent fault identification ...
Hao Wu +4 more
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Faulty Line Identification Method Based on Bayesian Optimization for Distribution Network
IEEE Access, 2021 Selective ground-fault protection is greatly valued for the safe and reliable operation of power systems. With the wide adoption of fault indicator in distribution network, the amount of available fault data increases dramatically.
Jiran Zhu +3 more
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IET Generation, Transmission & Distribution, 2023 A fault properties identification scheme for a hybrid multi‐terminal DC (MTDC) system is proposed to improve the power supply reliability in the system recovery stage.
Hou Junjie, Song Guobing, Fan Yanfang
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A SPD-UNet Model for Seismic Fault Image Identification [PDF]
Jisuanji gongcheng, 2021 Fault is the main factor that controls the formation and distribution of oil and gas fields, so the detection and identification of fault plays an important role in the exploration oil and gas fields.Based on the Attention-UNet model, this paper proposes
XI Yingjie, LI Kewen, XU Yanhui, ZHU Jianbing
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Wind Turbine Intelligent Gear Fault Identification [PDF]
Annual Conference of the PHM Society, 2017 This paper aims to present the development of a framework for monitoring of wind turbine gearboxes and prognosis of gear fracture faults, using vibration data and machine learning techniques. The proposed methodology analyses gear vibration signals in the order domain, using a shaft tachometer pulse.
Koukoura, Sofia +2 more
openaire +1 more source
IEEE Access, 2021 Considering that the vibration signals of gears and bearings in the automatic transmission device are complex and the fault features are difficult to extract.
Feng Ding +4 more
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Applied Sciences, 2023 Due to the barely resonant earthed system used in the transmission line, it is more challenging to identify faults at a 66 kV voltage level because of insufficient fault identification techniques.
Qi Zhang +5 more
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