Faye Zhang
YOU?
Author Swipe
View article: PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery
PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery Open
Online platforms like Pinterest hosting vast content collections traditionally rely on manual curation or user-generated search logs to create keyword landing pages (KLPs) -- topic-centered collection pages that serve as entry points for c…
View article: Power Transformer Fault Diagnosis Method Based on SMOTE and Convolution Soft Threshold Network
Power Transformer Fault Diagnosis Method Based on SMOTE and Convolution Soft Threshold Network Open
Power transformers play an important role in the entire power grid. However, the fault diagnosis method based on machine learning suffers from decreased diagnostic performance when faced with redundant information interference and unbalanc…
View article: Towards Intelligent Shape Measurement: A Full-Field Deformation Reconstruction Method for Discontinuous Wings Based on Fbg Sensing Networks
Towards Intelligent Shape Measurement: A Full-Field Deformation Reconstruction Method for Discontinuous Wings Based on Fbg Sensing Networks Open
View article: Fault diagnosis of power transformers based on dissolved gas analysis and improved LightGBM hybrid integrated model with dual‐branch structure
Fault diagnosis of power transformers based on dissolved gas analysis and improved LightGBM hybrid integrated model with dual‐branch structure Open
Aiming at the fault diagnosis problems of imbalanced data and insufficient mapping of characteristic information in fault samples collected by transformers at present, which lead to low accuracy and large diagnostic deviation in actual app…
View article: Data-Driven Method for Predicting Remaining Useful Life of Bearings Based on Multi-Layer Perception Neural Network and Bidirectional Long Short-Term Memory Network
Data-Driven Method for Predicting Remaining Useful Life of Bearings Based on Multi-Layer Perception Neural Network and Bidirectional Long Short-Term Memory Network Open
View article: Fault Diagnosis Method of Rolling Bearing Based on ESGMD-CC and AFSA-ELM
Fault Diagnosis Method of Rolling Bearing Based on ESGMD-CC and AFSA-ELM Open
Incomplete fault signal characteristics and ease of noise contamination are issues with the current rolling bearing early fault diagnostic methods, making it challenging to ensure the fault diagnosis accuracy and reliability. A novel appro…
View article: Accuracy‐Improved Fault Diagnosis Method for Rolling Bearing Based on Enhanced ESGMD‐CC and BA‐ELM Model
Accuracy‐Improved Fault Diagnosis Method for Rolling Bearing Based on Enhanced ESGMD‐CC and BA‐ELM Model Open
The current methods for early fault diagnosis of rolling bearing have some flaws, such as poor fault feature information and insufficient fault feature extraction capability, which makes it challenging to guarantee fault diagnosis accuracy…
View article: Intelligent Fault Diagnosis Method of Rolling Bearings Based on Transfer Residual Swin Transformer with Shifted Windows
Intelligent Fault Diagnosis Method of Rolling Bearings Based on Transfer Residual Swin Transformer with Shifted Windows Open
Due to their robust learning and expression ability for complex features, the deep learning (DL) model plays a vital role in bearing fault diagnosis.However, since there are fewer labeled samples in fault diagnosis, the depth of DL models …
View article: Engine remaining useful life prediction based on PSO optimized multi-layer long short-term memory and multi-source information fusion
Engine remaining useful life prediction based on PSO optimized multi-layer long short-term memory and multi-source information fusion Open
Engine as the core component of mechanical equipment, its operating state directly affects whether the equipment can operate normally. Predicting the engine remaining useful life (RUL) can monitor the health of the engine in real time and …
View article: Development of Double Channel Transformer Voiceprint Detection System Based on MEMS Digital Silicon Microphone
Development of Double Channel Transformer Voiceprint Detection System Based on MEMS Digital Silicon Microphone Open
Aiming for on-line monitoring of typical mechanical faults of transformer, a two-channel MEMS digital silicon wheat voice print detection system is developed, which consists of two channel MEMS digital silicon wheat array, the host of soun…
View article: An EHV Transformer Fault Diagnosis Method Based on Acoustic Perception and Sparse Autoencoder-BNCNN
An EHV Transformer Fault Diagnosis Method Based on Acoustic Perception and Sparse Autoencoder-BNCNN Open
The EHV transformer is one of the core transmission equipment of China’s EHV/UHV transmission system, and its reliability directly affects the operational stability of the power grid. In the long-term operation process, affected by sudden …
View article: Novel Cross-Domain Fault Diagnosis Method Based on Model-Agnostic Meta-Learning Embedded in Adaptive Threshold Network
Novel Cross-Domain Fault Diagnosis Method Based on Model-Agnostic Meta-Learning Embedded in Adaptive Threshold Network Open
View article: Impact Damage Identification of Aluminum Alloy Reinforced Plate Based on GWO-ELM Algorithm
Impact Damage Identification of Aluminum Alloy Reinforced Plate Based on GWO-ELM Algorithm Open
As a critical structure of aerospace equipment, aluminum alloy stiffened plate will influence the stability of spacecraft in orbit and the normal operation of the system. In this study, a GWO-ELM algorithm-based impact damage identificatio…
View article: Displacement field reconstruction technique for plate-like structures based on model superposition method
Displacement field reconstruction technique for plate-like structures based on model superposition method Open
To achieve real-time sensing and deformation reconstruction of flexible plate structure, a 3D reconstruction technique based on a quasi-distributed fiber grating sensor network and order-optimized modal superposition method is proposed. Gr…
View article: Reconstruction Technology of Flexible Structure Shape Based on FBG Sensor Array and Deep Learning Algorithm
Reconstruction Technology of Flexible Structure Shape Based on FBG Sensor Array and Deep Learning Algorithm Open
A structural displacement field reconstruction method is proposed to aim at the problems of deformation monitoring and displacement field reconstruction of flexible plate-like structures in the aerospace field. This method combines the dee…
View article: Low-Velocity Impact Localization of Cfrp Laminates Combined with Correlation Distance Method and Weighted Centroid Algorithm
Low-Velocity Impact Localization of Cfrp Laminates Combined with Correlation Distance Method and Weighted Centroid Algorithm Open
View article: Intelligent fault diagnosis of rolling bearing using the ensemble self‐taught learning convolutional auto‐encoders
Intelligent fault diagnosis of rolling bearing using the ensemble self‐taught learning convolutional auto‐encoders Open
The lack of labelled data presents a common challenge in many fault diagnosis and machine learning tasks. It requires the model to be able to efficiently capture useful fault features from a smaller amount of labelled data. In this paper, …
View article: Phase Demodulation Method for Fringe Projection Measurement Based on Improved Variable-Frequency Coded Patterns
Phase Demodulation Method for Fringe Projection Measurement Based on Improved Variable-Frequency Coded Patterns Open
The phase-to-height imaging model, as a three-dimensional (3D) measurement technology, has been commonly applied in fringe projection to assist surface profile measurement, where the efficient and accurate calculation of phase plays a crit…
View article: An In Situ Reflectance Spectroscopic Investigation to Monitor Two-Dimensional MoS2 Flakes on a Sapphire Substrate
An In Situ Reflectance Spectroscopic Investigation to Monitor Two-Dimensional MoS2 Flakes on a Sapphire Substrate Open
In this work, we demonstrate the application of differential reflectance spectroscopy (DRS) to monitor the growth of molybdenum disulfide (MoS2) using chemical vapor deposition (CVD). The growth process, optical properties, and structure e…
View article: Parameter optimization method for delamination defects detection of composite laminate using phased array ultrasonic
Parameter optimization method for delamination defects detection of composite laminate using phased array ultrasonic Open
Aiming at the problem of accurate identification of delamination defects of composite laminates, an optimization method of activation aperture of phased array ultrasonic testing was proposed by simulation and experiment, and the effects of…
View article: High Precision Detection Method for Delamination Defects in Carbon Fiber Composite Laminates Based on Ultrasonic Technique and Signal Correlation Algorithm
High Precision Detection Method for Delamination Defects in Carbon Fiber Composite Laminates Based on Ultrasonic Technique and Signal Correlation Algorithm Open
This paper presents a method based on signal correlation to detect delamination defects of widely used carbon fiber reinforced plastic with high precision and a convenient process. The objective of it consists in distinguishing defect and …
View article: Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography
Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography Open
In order to deal with the problem of composite damage location, an imaging technique based on differential signal and Lamb wave tomography was proposed. Firstly, the feasibility of the technique put forward was verified by simulation. In t…
View article: Phase Difference-3D Coordinate Mapping Model of Structural Light Imaging System Based on Extreme Learning Machine Network
Phase Difference-3D Coordinate Mapping Model of Structural Light Imaging System Based on Extreme Learning Machine Network Open
To meet the requirements of high accuracy and high efficiency in three-dimensional (3D) measurement, a phase difference-3D coordinate mapping model is proposed based on extreme learning machine (ELM) network. First, the reconstruction mode…
View article: Direct Observation of Monolayer MoS2 Prepared by CVD Using In-Situ Differential Reflectance Spectroscopy
Direct Observation of Monolayer MoS2 Prepared by CVD Using In-Situ Differential Reflectance Spectroscopy Open
The in-situ observation is of great significance to the study of the growth mechanism and controllability of two-dimensional transition metal dichalcogenides (TMDCs). Here, the differential reflectance spectroscopy (DRS) was performed to m…
View article: Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm
Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm Open
State monitoring and fault diagnosis of an internal combustion engine are critical for complex machinery safety. In the present study, a high‐frequency vibration system was proposed based on Fiber Bragg Grating (FBG) cantilever sensor and …
View article: Acoustic emission localization technique based on fiber Bragg grating sensing network and signal feature reconstruction
Acoustic emission localization technique based on fiber Bragg grating sensing network and signal feature reconstruction Open
Based on the analysis of the propagation mechanism of acoustic emission stress waves caused by impact excitation on aluminum alloy plates, The geometrical model of steel ball impacted aluminum alloy plate was built by ABAQUS software, and …