Results 1 to 10 of about 39,327 (311)
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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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 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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SensorsPhotovoltaic arrays are exposed to outdoor conditions year-round, leading to degradation, cracks, open circuits, and other faults. Hence, the establishment of an effective fault diagnosis system for photovoltaic arrays is of paramount importance. However,
Yebo Tao, Tingting Yu, Jiayi Yang
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Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. [PDF]
Sensors (Basel), 2020 A blade rub-impact fault is one of the complex and frequently appearing faults in turbines. Due to their nonlinear and nonstationary nature, complex signal analysis techniques, which are expensive in terms of computation time, are required to extract ...
Prosvirin AE, Piltan F, Kim JM.
europepmc +2 more sources
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
doaj +1 more source
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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Fault detection and identification—A filter investigation [PDF]
International Journal of Robust and Nonlinear Control, 2017 SummaryThis paper develops a new active fault‐tolerant control system based on the concept of analytical redundancy. The novel design presented here consists of an observation filter–based fault detection and identification system integrated with a nonlinear model predictive controller.
R. Khan +4 more
openaire +4 more sources
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
doaj +1 more source