Search Results - "Chen, Zuoyi"
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Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples
Published in Sensors (Basel, Switzerland) (30-05-2022)“…Many existing fault diagnosis methods based on deep learning (DL) require numerous fault samples to train the diagnosis model. However, in industrial…”
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2
A lag bloom pattern of phytoplankton after freshwater input events revealed by daily samples during summer in Qinhuangdao coastal water, China
Published in Frontiers in microbiology (26-07-2024)“…Phytoplankton blooms have become a global concern due to their negative impacts on public health, aquaculture, tourism, and the economic stability of coastal…”
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3
Rolling Bearing Fault Diagnosis Based on Wavelet Packet Transform and Convolutional Neural Network
Published in Applied sciences (01-02-2020)“…Timely sensing the abnormal condition of the bearings plays a crucial role in ensuring the normal and safe operation of the rotating machine. Most traditional…”
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4
A Review of Seagrass Bed Pollution
Published in Water (Basel) (01-10-2023)“…Due to climate change and human activities, seagrass is in crisis as the coverage of seagrass declines at an accelerated rate globally. In this paper, the…”
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Diversity in the Globally Distributed Diatom Genus Chaetoceros (Bacillariophyceae): Three New Species from Warm-Temperate Waters
Published in PloS one (01-01-2017)“…Chaetoceros is one of the most species rich, widespread and abundant diatom genera in marine and brackish habitats worldwide. It therefore forms an excellent…”
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Semicryptic Diversity around Chaetoceros elegans (Bacillariophyta, Mediophyceae), and the Description of Two New Species
Published in Diversity (Basel) (01-08-2022)“…The globally distributed Chaetoceros elegans belongs to the Chaetoceros lorenzianus (C. lorenzianus) complex and is characterized by having tear-shaped setae…”
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Daily Samples Revealing Shift in Phytoplankton Community and Its Environmental Drivers during Summer in Qinhuangdao Coastal Area, China
Published in Water (Basel) (01-05-2022)“…Rapid urbanization and economic development in coastal regions have significantly increased coastal nutrient pollution and remarkably changed the phytoplankton…”
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Residual deep subdomain adaptation network: A new method for intelligent fault diagnosis of bearings across multiple domains
Published in Mechanism and machine theory (01-03-2022)“…•Residual deep subdomain adaptation network is proposed for fault diagnosis.•A residual network is constructed to extract transferable features.•Aligning…”
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Deep Attention Relation Network: A Zero-Shot Learning Method for Bearing Fault Diagnosis Under Unknown Domains
Published in IEEE transactions on reliability (01-03-2023)“…Deep learning (DL) method are extensively used for bearing fault diagnosis (BFD). Due to severe data distribution difference under variable working conditions,…”
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10
Laminar Forced Flow and Heat Transfer in Cross-Corrugated Triangular Ducts
Published in Heat transfer engineering (01-11-2016)“…The fluid flow and heat transfer characteristics in a cross-corrugated triangular channel are studied under laminar forced flow and uniform wall temperature…”
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11
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform
Published in Applied intelligence (Dordrecht, Netherlands) (01-08-2021)“…Structural damage detection is of very importance to improve reliability and safety of civil structures. A novel sensor data-driven structural damage detection…”
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Convolutional Neural Network-Based Bayesian Gaussian Mixture for Intelligent Fault Diagnosis of Rotating Machinery
Published in IEEE transactions on instrumentation and measurement (2021)“…Fault diagnosis is very important to ensure the efficiency and reliability of rotating machinery. Traditional fault diagnosis methods often require manual…”
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Parallel multi-fusion convolutional neural networks based fault diagnosis of rotating machinery under noisy environments
Published in ISA transactions (01-09-2022)Get full text
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14
Shrinkage mamba relation network with out-of-distribution data augmentation for rotating machinery fault detection and localization under zero-faulty data
Published in Mechanical systems and signal processing (01-02-2025)“…Data-driven fault detection (FD) or diagnosis methods are key technologies to ensure safe operation of rotating machinery. These methods rely on a requisite…”
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15
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples
Published in Knowledge-based systems (23-05-2023)“…Fault detection might effectively enhance the operational reliability and safety of industrial robot (IR). Data-driven intelligent detection methods are…”
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Deep convolutional transfer learning-based structural damage detection with domain adaptation
Published in Applied intelligence (Dordrecht, Netherlands) (01-03-2023)“…Most data-driven structural damage detection methods are built upon the assumption that enough labeled data is available and both training and test data have…”
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17
Deep residual shrinkage relation network for anomaly detection of rotating machines
Published in Journal of manufacturing systems (01-10-2022)“…Anomaly detection is an effective method to guarantee the health of rotating machines during their long-term service time. In this paper, a new deep residual…”
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Relational Conduction Graph Network for Intelligent Fault Diagnosis of Rotating Machines under Small Fault Samples
Published in IEEE transactions on instrumentation and measurement (01-01-2023)“…Fault samples obtained in real-world environment are limited, which makes it hard to diagnose faults of rotating machines (RM) accurately by using the existing…”
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Analysing and Optimizing the Aerodynamic Performance of Wind Turbine Blades using Injected-air Jets at Variable Frequency and Amplitude for Flow Control
Published in Wind engineering (01-06-2005)“…Optimum aerodynamic performance of a wind turbine blade demands that the angle of attack of the relative wind on the blade remains at its optimum value. For…”
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Enhanced Cr(VI) removal and stabilization from bioleached wastewater by zero-valent iron coupled with hetero and autotrophic bacteria
Published in Journal of environmental management (01-08-2024)“…Zero-valent iron (Fe0) usually suffers from organic acid complexation and ferrochrome layer passivation in Cr(VI) removal from bioleached wastewater of Cr…”
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