A5100715874- Machine Fault Diagnosis Techniques
- Structural Health Monitoring Techniques
- Fault Detection and Control Systems
- Ultrasonics and Acoustic Wave Propagation
- Gear and Bearing Dynamics Analysis
- Advanced Electrical Measurement Techniques
- Non-Destructive Testing Techniques
- Blind Source Separation Techniques
- Thermography and Photoacoustic Techniques
- Geophysical Methods and Applications
- Engineering Diagnostics and Reliability
- Advanced battery technologies research
- Minerals Flotation and Separation Techniques
- Hydrocarbon exploration and reservoir analysis
- High voltage insulation and dielectric phenomena
- Advanced Fiber Optic Sensors
- Advanced machining processes and optimization
- Tissue Engineering and Regenerative Medicine
- Powder Metallurgy Techniques and Materials
- Smart Materials for Construction
- Radio Wave Propagation Studies
- Ionic liquids properties and applications
- Power Systems Fault Detection
- Safety and Risk Management
- Recycled Aggregate Concrete Performance
Lanzhou Institute of Chemical Physics
2024-2025
Chinese Academy of Sciences
2024-2025
Yulin University
2025
Qingdao University
2024-2025
Dalian Institute of Chemical Physics
2025
Stomatology Hospital
2025
Zhejiang University
2025
Wuhan University of Science and Technology
2023-2024
East China University of Science and Technology
2022-2024
City University of Hong Kong
2024
Synchrosqueezing transform (SST) is a currently proposed novel postprocessing time-frequency (TF) analysis tool. It has been widely shown that SST able to improve TF representation. However, so far, how the resolution while ensuring accuracy of signal reconstruction still an open question, particularly for vibration with time-varying instantaneous frequency (IF) characteristics, due fact signals mechanical equipment usually contain many types noise generated by harsh operating conditions,...
Time-frequency analysis (TFA) is considered as a useful tool to extract the time-variant features of nonstationary signal. In this paper, new method called demodulated high-order synchrosqueezing transform (DHST) proposed. The DHST introduces two-step algorithm, namely, and achieve compact time-frequency representation (TFR) while enabling reconstruction signal from TFR. performance proposed in paper validated by both simulated experimental signals including bat echolocation vibration...
The rolling element bearing is easy to be malfunctioning due the harsh operation. When a fault exists in bearing, it can generate periodical or quasi-periodical impulses, which are important features for detection. These impulses may submerged background noise and interferences of other unrelated components. spectral kurtosis, its fast realization, kurtogram, have been widely used diagnosis by extracting impulsive feature. However, performance weakened fixed decomposition scheme prior...
Time-frequency analysis (TFA) is regarded as an efficient technique to reveal the hidden characteristics of oscillatory signal. At present, traditional TFA methods always construct signal model in time domain and assume instantaneous features modes be continuous. Thus, most these approaches fail tackle some specific kinds impulselike signal, including shock vibration waves, damped tones, or marine mammals. This article introduces a new method called generalized horizontal synchrosqueezing...
As one of the most important and essential elements machines, rolling element bearings always fail due to severe operating environment. Bearing failures usually result in periodic impulses, which are crucial feature for bearing diagnosis. These impulses may be overwhelmed by background noises or other unrelated components. Many traditional features time domain such as kurtosis root mean square (rms) invalid some cases. They ineffective detecting impulses. This paper proposed a novel...
The empirical wavelet transform (EWT) has shown its effectiveness in some applications. However, when noisy and nonstationary signals are analyzed, local maxima may appear be retained the peak sequence mistakenly, so improper segmentation frequency domain will occur. In our research, morphological EWT (MEWT) method is proposed based on filters (MFs) 1-D Otsu to mitigate boundary drawback of EWT, it can applied chatter detection because good performance finding optimal band. First,...
This article introduces the second-order transient-extracting transform (TET2) to extract transient components from a nonstationary signal. Different traditional (TET1), proposed method is based on more general frequency-domain signal model, termed Gaussian-modulated linear group delay model. The first step of computation (GD) estimator that describes temporal positioning ridges in time-frequency (TF) plane. Based this GD estimator, we can then obtain an energy-concentrated TF...
Advancements in the synchrosqueezing transform as a postprocessing time-frequency method have received considerable attention past few decades for analysis of nonstationary signals. Many studies focused on improving accuracy estimated instantaneous frequency (IF). In some fields, IF spectra signals exhibit fast varying behavior or even times parallel to axis. Thus, majority existing methods may fail adequately handle transient such guided waves and vibration waves. To address this problem,...
Traditional time–frequency analysis (TFA) methods can effectively obtain instantaneous frequency (IF) features of nonstationary signals by constructing the signal model in time domain. However, they fail to deal with transient because IF is discontinuous domain and a multivalued function respect time. Thus, this article, we introduce new TFA method, termed generalized transient-extracting transform (GTET), sharper representation (TFR) frequency-domain model. First, propose computational...
The establishment of a structural health monitoring (SHM) system for the damage and defects composite structures is great theoretical engineering value to ensure their production operational safety. Advanced machine learning technologies, such as deep learning, have become one main driving forces state predictive analysis these structures. However, it difficult obtain sufficient data train model, which may fail build an accurate efficient SHM model. To overcome this problem, new method based...
This study presents a novel method for reducing carbon emissions in cement production by using steel solid waste as catalyst, offering sustainable and cost-effective solution environmental challenges.
Time-frequency analysis (TFA) is an effective tool to identify the signal frequency components and reveal their time variant features. In this paper, a new instantaneous (IF) estimation method proposed for signals with heavy noise, which based on polynomial chirplet transform ridge curve extraction scheme. Based method, iterative stepwise refinement algorithm developed generate time-frequency distribution (TFD) satisfactory energy concentration. Both simulated experimental vibration are used...
The artificially constructed porous layered basic zinc acetate nanosheets can effectively reduce the electric field's tip effect and hydrogen evolution reaction, leading to uniform Zn nucleation deposition.
The active hydroxyl group of cellulose plays a crucial role in regulating the microstructure cellulose-derived hard carbon, which ultimately affects its sodium storage capacity. Through small-angle X-ray scattering (SAXS) and atomic pair distribution function (PDF) analysis, we proved that modification by esterification crosslinking can introduce more closed pores into carbonized is beneficial for promoting ion storage. Our results demonstrate optimizing conditions used cross-linking...
Integrated cultivation practices help reduce economic costs and increase crop yield. However, it is unclear how integrated improve soil microbial diversity its related mechanism in rice field. Therefore, four i.e., no N application (N0), local farmers’ practice (FP), high-yield high-efficiency (HYEY), super-high-yield practice, impacts on properties structure composition of community were explored. Compared with N0, SHY treatment, significantly increased alkaline nitrogen organic matter...
Integrated cultivation practices help reduce economic costs and increase crop yield. However, it is unclear how integrated improve soil microbial diversity its related mechanism in rice field. Therefore, four i.e., no N application (N0), local farmers’ practice (FP), high-yield high-efficiency (HYEY), super-high-yield practice, impacts on properties structure composition of community were explored. Compared with N0, SHY treatment, significantly increased alkaline nitrogen organic matter...