Juanjuan Shi
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View article: Latent subdomain assignment based on pseudo domain labels for fault diagnosis of unseen data
Latent subdomain assignment based on pseudo domain labels for fault diagnosis of unseen data Open
View article: An analytical method for time-varying mesh stiffness calculation for straight bevel gears under spalling conditions
An analytical method for time-varying mesh stiffness calculation for straight bevel gears under spalling conditions Open
Tooth spall is a prevalent gear fault that reduces mesh stiffness and adversely affects transmission ability of gear systems. While plenty of research focuses on tooth spall faults in spur and helical gears, few analytical approaches were …
View article: Three-Dimensional Dynamic Modeling and Vibration Analysis of Deep Groove Ball Bearings Under Compound Fault Excitation
Three-Dimensional Dynamic Modeling and Vibration Analysis of Deep Groove Ball Bearings Under Compound Fault Excitation Open
View article: A new multiple mixed augmentation-based transfer learning method for machinery fault diagnosis
A new multiple mixed augmentation-based transfer learning method for machinery fault diagnosis Open
With the continuous development of various industries, the diagnosis of industrial equipment faults has been receiving increasing attention in recent years. Considering the complex and variable working conditions, and the limited amount of…
View article: Low-Velocity Impact and Post-Impact Residual Flexural Properties of Kevlar/EP Three-Dimensional Angle-Interlock Composites
Low-Velocity Impact and Post-Impact Residual Flexural Properties of Kevlar/EP Three-Dimensional Angle-Interlock Composites Open
In this study, five three-dimensional angle-interlock fabrics with different warp and weft densities were fabricated using 1000D Kevlar filaments. The Kevlar/EP composites were prepared by vacuum-assisted molding techniques. The low-veloci…
View article: Characteristic Analysis of Rolling Bearing Dynamic Response Under Raceway Multiple Faults
Characteristic Analysis of Rolling Bearing Dynamic Response Under Raceway Multiple Faults Open
View article: Characteristic Analysis of Rolling Bearing Dynamic Response Under Raceway Multiple Faults
Characteristic Analysis of Rolling Bearing Dynamic Response Under Raceway Multiple Faults Open
View article: Three-dimensional dynamic analytical modeling and vibration analysis of deep groove ball bearings under multi-source internal fault excitation
Three-dimensional dynamic analytical modeling and vibration analysis of deep groove ball bearings under multi-source internal fault excitation Open
Dynamic modeling can greatly inform the study of characteristics of bearing failures. However, traditional two-dimensional dynamic models are not effective in analyzing complex dynamic characteristics of bearing elements, in particular thr…
View article: Effective Use of Sugarcane-Bagasse-Derived KOH-Activated Biochar for Remediating Norfloxacin-Contaminated Water
Effective Use of Sugarcane-Bagasse-Derived KOH-Activated Biochar for Remediating Norfloxacin-Contaminated Water Open
Bagasse-derived biochar (SCB750) was prepared at 750 °C using Chinese sugarcane bagasse as a carbon source and then modified with KOH for the removal of the antibiotic norfloxacin (NOR) from aqueous solutions. 3K-SCB750, prepared using a s…
View article: Synchronous fault feature extraction for rolling bearings in a generalized demodulation framework
Synchronous fault feature extraction for rolling bearings in a generalized demodulation framework Open
Generalized demodulation (GD) has the potential to process non-stationary vibration signals since it can demodulate a signal with a curved time–frequency (TF) ridge into a signal, with a TF ridge parallel to a time axis with an improved ti…
View article: A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis
A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis Open
Deep learning for bearing fault diagnosis often requires a large quantity of comprehensive data to give support in the field of rotating machinery fault diagnosis. However, large-quantity datasets for model training are difficult to obtain…
View article: Generic meta-transfer learning model with special neuronal processing parameters for few-shot fault bearing diagnosis
Generic meta-transfer learning model with special neuronal processing parameters for few-shot fault bearing diagnosis Open
The society is now in the data-rich environment, and deep learning is widely used in bearing fault diagnostic technology due to the advancement of information technology. These methods typically need a large amount of data to support. Howe…
View article: VCAN, expressed highly in hepatitis B virus-induced hepatocellular carcinoma, is a potential biomarker for immune checkpoint inhibitors
VCAN, expressed highly in hepatitis B virus-induced hepatocellular carcinoma, is a potential biomarker for immune checkpoint inhibitors Open
High VCAN level could be a possible biomarker for poor prognosis of HCC, and its immunomodulatory mechanism in HCC warrants investigation.
View article: Continual learning fault diagnosis: A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments
Continual learning fault diagnosis: A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments Open
As a data-driven approach, deep learning (DL)-based fault diagnosis methods need to collect the relatively comprehensive data on machine fault types to achieve satisfactory performance. A mechanical system may include multiple submachines …
View article: Bearing fault severity assessment using variable-step multiscale fusion Lempel-Ziv complexity
Bearing fault severity assessment using variable-step multiscale fusion Lempel-Ziv complexity Open
Most research on bearing health condition monitoring is devoted to distinguish the defective condition from the healthy condition. In practice, the fault severity assessment is also critical for performing the prognostics and maintenance o…
View article: Varying-parameter time-frequency manifold for gearbox fault diagnosis
Varying-parameter time-frequency manifold for gearbox fault diagnosis Open
The vibration signals of a faulty gearbox are non-stationary and contaminated by heavy background noise. Time-frequency transform is able to present the non-stationary fault impulsive features in the time-frequency distribution (TFD). Howe…
View article: Sawdust-Derived Activated Carbon with Hierarchical Pores for High-Performance Symmetric Supercapacitors
Sawdust-Derived Activated Carbon with Hierarchical Pores for High-Performance Symmetric Supercapacitors Open
The recyclable utilization of waste biomass is increasingly important for the development of a sustainable society. Here, the sawdust-derived activated carbon (SD-AC) has been prepared via a convenient H3PO4-based activation method and fur…
View article: A revised method to calculate time-varying mesh stiffness of helical gear
A revised method to calculate time-varying mesh stiffness of helical gear Open
Time-varying mesh stiffness (TVMS) of gear plays vital role in analysing dynamic characteristic of gear transmission. So accurately evaluating the TVMS is important and essential. In this paper, a revised method to calculate the TVMS of he…
View article: Adversarial flow-based model for unsupervised fault diagnosis of rolling element bearings
Adversarial flow-based model for unsupervised fault diagnosis of rolling element bearings Open
Nowadays, numerous supervised deep learning models have been applied to bearing fault diagnosis. However, labelling the health states of the bearing vibration data is a time-consuming work and dependent on expert experience. In order to ta…
View article: Synchronous chirp mode extraction: A promising tool for fault diagnosis of rolling element bearings under varying speed conditions
Synchronous chirp mode extraction: A promising tool for fault diagnosis of rolling element bearings under varying speed conditions Open
As critical components in modern aerospace productions, rolling element bearings (REBs) generally work under varying speed conditions, which brings great challenges to their operating health monitoring. Some novel time–frequency decomposit…
View article: Prospects for estimating the pavements structural capacity based on rolling wheel deflection
Prospects for estimating the pavements structural capacity based on rolling wheel deflection Open
This article contains the results of the study of elastic deflection of semi-rigid pavement defined by the method of a rolling wheel (RWD) under different axial loads. For the investigations, an exclusive mobile complex was developed, allo…
View article: An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis
An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis Open
Currently, study on the relevant methods of variational mode decomposition (VMD) is mainly focused on the selection of the number of decomposed modes and the bandwidth parameter using various optimization algorithms. Most of these methods …
View article: Matching Linear Chirplet Strategy-Based Synchroextracting Transform and Its Application to Rotating Machinery Fault Diagnosis
Matching Linear Chirplet Strategy-Based Synchroextracting Transform and Its Application to Rotating Machinery Fault Diagnosis Open
Various time-frequency analysis methods have been employed for the vibration signal processing of rotating machinery under time-varying speeds. However, most methods suffer from time-frequency blurriness, particularly for signals experienc…
View article: Time Frequency Representation Enhancement via Frequency Matching Linear Transform for Bearing Condition Monitoring under Variable Speeds
Time Frequency Representation Enhancement via Frequency Matching Linear Transform for Bearing Condition Monitoring under Variable Speeds Open
Instantaneous frequency (IF) of shaft rotation is pivotal for bearing fault diagnosis under variable speed operations. However, shaft IF cannot always be measured as tachometers are not allowed to be installed in every case due to design r…
View article: A Fast Signal Estimation Method Based on Probability Density Functions for Fault Feature Extraction of Rolling Bearings
A Fast Signal Estimation Method Based on Probability Density Functions for Fault Feature Extraction of Rolling Bearings Open
Fault diagnosis of rolling bearings is essential to ensure the efficient and safe operation of mechanical equipment. The extraction of fault features of the repetitive transient component from noisy vibration signals is key to bearing faul…
View article: Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis
Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis Open
Rotating machinery plays a vital role in modern mechanical systems. Effective state monitoring of a rotary machine is important to guarantee its safe operation and prevent accidents. Traditional bearing fault diagnosis techniques rely on m…
View article: Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds
Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds Open
To perform bearing fault diagnosis under variable speeds, the optimal resonant frequency (ORF) band selection and diagnosis strategy are pivotal. Indexes, such as kurtosis, crest factor (CF) and smoothness index (SI), are extensively used …
View article: Improvement of Enzymatic Stability and Catalytic Efficiency of Recombinant Fusariumoxysporum Trypsin with Different N-Terminal Residues Produced by Pichiapastoris
Improvement of Enzymatic Stability and Catalytic Efficiency of Recombinant Fusariumoxysporum Trypsin with Different N-Terminal Residues Produced by Pichiapastoris Open
Fusarium oxysporum trypsin (FOT) is a fungal serine protease similar to mammal trypsin. The FOT could be successfully expressed in Pichiapastoris by engineering the natural propeptide APQEIPN. In this study, we constructed tw…
View article: Gearbox fault diagnosis via generalized velocity synchronous Fourier transform and order analysis
Gearbox fault diagnosis via generalized velocity synchronous Fourier transform and order analysis Open
Gearboxes have essential roles in many types of industrial equipment. Fault detection for gearboxes is important yet extremely difficult because volatile working conditions lead to nonstationary vibration signals. Order tracking is a class…
View article: Multiple instantaneous frequency ridge based integration strategy for bearing fault diagnosis under variable speed operations
Multiple instantaneous frequency ridge based integration strategy for bearing fault diagnosis under variable speed operations Open
Rolling element bearings are one of the key elements used in rotating machines. Their failure will result in system breakdowns and cause unexpected accidents. The health condition monitoring of bearings is, therefore, an emerging disciplin…