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Fault Detection and Diagnosis of HVAC System Based on Federated Learning [PDF]
Jisuanji kexue, 2022 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]
Jisuanji kexue, 2023 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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Diagnostyka, 2022 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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Zhongguo Jianchuan Yanjiu, 2021 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
IEEE Access, 2021 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
Journal of Cloud Computing: Advances, Systems and Applications, 2023 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
Energies, 2021 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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Research on Maintenance Fault Diagnosis System for E-class High-Performance Computer [PDF]
Jisuanji gongcheng, 2022 E-class computer systems typically have huge scales.Consequently, the total number of abnormal faults is bound to increase, resulting in difficulty in fault diagnosis.Thus, there is an urgent need for the development of a more accurate and efficient real-
JIAN Lantao, REN Xiujiang, ZHANG Zhen, SHI Song, HUANG Yiming, ZHANG Chunlin
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Redundant ADS and INS High Sensitivity Fault Detection Method
Xibei Gongye Daxue Xuebao, 2020 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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A Hilbert–Huang Transform-Based Adaptive Fault Detection and Classification Method for Microgrids
Energies, 2021 Fault detection in microgrids is of great significance for power systems’ safety and stability. Due to the high penetration of distributed generations, fault characteristics become different from those of traditional fault detection.
Yijin Li +4 more
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