Search Results - "Du, Guifu"
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Balance Sparse Decomposition Method with Nonconvex Regularization for Gearbox Fault Diagnosis
Published in Chinese journal of mechanical engineering (29-09-2024)“…As an important part of rotating machinery, gearboxes often fail due to their complex working conditions and harsh working environment. Therefore, it is very…”
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2
An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
Published in IEEE access (2018)“…Effective machinery prognostics and health management play a crucial role in ensuring the safe and continuous operation of equipment, and satisfactory…”
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3
Improved Multi-Bandwidth Mode Manifold for Enhanced Bearing Fault Diagnosis
Published in Chinese journal of mechanical engineering (01-12-2022)“…Variational mode decomposition (VMD) has been proved to be useful for extraction of fault-induced transients of rolling bearings. Multi-bandwidth mode manifold…”
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4
Grounding Fault Diagnosis of Running Rails Based on a Multi-scale One-Dimensional Convolutional Neural Network in a DC Subway System
Published in Urban rail transit (01-09-2024)“…Running rails are the return conductors of the traction current in DC subway systems, which should be insulated from the earth. Due to the large length of the…”
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5
Evaluation of Rail Potential Based on Power Distribution in DC Traction Power Systems
Published in Energies (Basel) (01-09-2016)“…Running rails used as a return conductor and ungrounded scheme have been widely adopted in DC traction power systems. Due to the longitudinal resistance of…”
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6
Dynamic Distribution of Rail Potential with Regional Insulation Alteration in Multi‐Train Urban Rail Transit
Published in IET electrical systems in transportation (14-09-2024)“…Rail potential (RP) has become a disaster for the safe operation of metro lines. In urban rail transit (URT), regional insulation degradation often occurs due…”
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7
Optimization of grounding resistance in multitrain DC subway system based on MOEA/D‐DE
Published in IET intelligent transport systems (01-08-2023)“…Currently, in multitrain DC subway system, abnormal increase of rail potential (RP) and stray current (SC) has seriously threatened the safe operation of the…”
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8
Time Frequency Representation Enhancement via Frequency Matching Linear Transform for Bearing Condition Monitoring under Variable Speeds
Published in Applied sciences (01-09-2019)“…Instantaneous frequency (IF) of shaft rotation is pivotal for bearing fault diagnosis under variable speed operations. However, shaft IF cannot always be…”
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Multi‐state unified calculation model of rail potential and stray current in DC railway systems
Published in IET electrical systems in transportation (01-03-2023)“…In order to calculate the dynamic distribution of rail potential and stray current accurately, a multi‐state unified calculation model of rail potential and…”
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10
An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions
Published in IEEE access (2020)“…Tacholess order tracking techniques based on time-frequency (TF) ridge detection have been extensively used in bearing fault diagnosis under varying speed…”
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11
Maximum Safety Regenerative Power Tracking for DC Traction Power Systems
Published in Energies (Basel) (2017)“…Direct current (DC) traction power systems are widely used in metro transport systems, with running rails usually being used as return conductors. When…”
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12
Fault diagnosis of rotating machines based on the EMD manifold
Published in Mechanical systems and signal processing (01-01-2020)“…•EMD manifold is proposed for true mode extraction in machinery fault diagnosis.•Sensitive modes with different noise are fused nonlinearly by manifold…”
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13
Smart multichannel mode extraction for enhanced bearing fault diagnosis
Published in Mechanical systems and signal processing (15-04-2023)“…•SMTS with a solid mathematical theory is built to elegantly detect CFs of the latent modes.•MSD induced by CFs can decompose the multichannel signals by a…”
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14
Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines
Published in Mechanism and machine theory (01-08-2022)“…•Central frequency mode decomposition is proposed to analyze mechanical signals.•Some hyper-parameters used in the VMD are determined in the CFMD…”
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15
Spectral feature informed variational model and its applications to machinery fault diagnosis
Published in Structural health monitoring (24-07-2024)“…Variational mode extraction (VME), a novel signal decomposition method based on a frequency-domain filter in essence, has recently become a potential tool in…”
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16
A More Balanced Loss-Reweighting Method for Long-Tailed Traffic Sign Detection and Recognition
Published in IEEE transactions on intelligent transportation systems (23-09-2024)“…In recent years, the surge of artificial intelligence has propelled autonomous driving technology to the forefront, capturing growing interest and enthusiasm…”
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17
Four Consecutive Samples Based Frequency Estimation for Single-Phase Grids With DC Offsets
Published in IEEE transactions on industrial electronics (1982) (01-10-2021)“…The presence of dc offsets results in fundamental frequency oscillations in the frequency estimation and it is a challenging problem in single-phase grids. In…”
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18
Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax
Published in IEEE transactions on intelligent transportation systems (01-12-2022)“…Traffic sign detection and recognition (TSDR) has attracted extensive studies recently due to its broad application prospect in Intelligent Transport Systems…”
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19
Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition
Published in IEEE transactions on instrumentation and measurement (2024)“…A timely fault diagnosis is imperative to significantly improve the operational stability and safety of rotating machinery. Until now, several parameterized…”
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20
Double-scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer
Published in IEEE transactions on industrial informatics (01-08-2023)“…Aluminum electrolytic capacitors (AECs) are utilized as the key components in power electronic transformers (PETs). The AEC degradation monitoring is crucial…”
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