Results 1 to 10 of about 32,574 (266)
An Intelligent Fault Detection Model for Fault Detection in Photovoltaic Systems [PDF]
Effective fault diagnosis in a PV system requires understanding the behavior of the current/voltage (I/V) parameters in different environmental conditions. Especially during the winter season, I/V characters of certain faulty states in a PV system closely resemble that of a normal state.
Barun Basnet, Hyunjun Chun, Junho Bang
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Fault Detection and Diagnosis of HVAC System Based on Federated Learning [PDF]
Automation and accurate fault detection and diagnosis of HVAC systems is one of the most important technologies for reducing time,energy,and financial costs in building performance management.In recent years,data-driven fault detection and diagnosis ...
WANG Xian-sheng, YAN Ke
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Overview of Intelligent Radar Fault Prediction and Detection Technology [PDF]
Radar fault prediction and fault detection technology is the key technology for the transformation of radar equipment maintenance from traditional regular maintenance to intelligent condition-based maintenance.To ensure the performance of radar combat ...
ZHAI Yuting, CHENG Zhanxin, FANG Shaojun
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The Fault Detection Problem [PDF]
One of the most important challenges in distributed computing is ensuring that services are correct and available despite faults. Recently it has been argued that fault detection can be factored out from computation, and that a generic fault detection service can be a useful abstraction for building distributed systems.
Andreas Haeberlen, Petr Kuznetsov
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The increased cost of fuel and maintenance in aircraft system lead to the concept of more electric aircraft, moreover this concept increase the use of power electronic converters in aircraft power system.
Mohamed Abdelbasset Mahboub +3 more
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ObjectivesIn order to improve the reliability of shipborne electrical plant control systems and solve the key problem of fault detection in dual CPU hot backup redundant communication, a comprehensive set of fault detection mechanisms is proposed ...
Yue LU +4 more
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Railway Insulator Detection Based on Adaptive Cascaded Convolutional Neural Network
Insulator failure is one of the important causes of railway power transmission accidents. In the automatic detection system of railway insulators, the detection and classification of insulator faults is a challenging task due to the complex background ...
Zaixing Wang +5 more
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Container cascade fault detection based on spatial–temporal correlation in cloud environment
Containers are light, numerous, and interdependent, which are prone to cascading fault, increasing the probability of fault and the difficulty of detection.
Ningjiang Chen +5 more
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Novel Instantaneous Wavelet Bicoherence for Vibration Fault Detection in Gear Systems
Higher order spectra exhibit a powerful detection capability of low-energy fault-related signal components, buried in background random noise. This paper investigates the powerful nonlinear non-stationary instantaneous wavelet bicoherence for local gear ...
Len Gelman +2 more
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Redundant ADS and INS High Sensitivity Fault Detection Method
The fault detection function of GLT method is approximately proportional to the square of fault value, the value of the fault detection function is lower than the detection threshold when the soft fault is small, which leads to the low sensitivity of ...
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