- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Fault Detection and Control Systems
- Advanced machining processes and optimization
- Railway Engineering and Dynamics
- Integrated Circuits and Semiconductor Failure Analysis
- Infrastructure Maintenance and Monitoring
- Enzyme Catalysis and Immobilization
- Advanced Sensor and Control Systems
- Data Mining Algorithms and Applications
- Structural Health Monitoring Techniques
- Molecular Sensors and Ion Detection
- Civil and Geotechnical Engineering Research
- Consumer Market Behavior and Pricing
- Supply Chain and Inventory Management
- Sulfur Compounds in Biology
- Geological and Geochemical Analysis
- Traffic Prediction and Management Techniques
- Autonomous Vehicle Technology and Safety
- Reliability and Maintenance Optimization
- Electrical Contact Performance and Analysis
- Railway Systems and Energy Efficiency
- Fuzzy Logic and Control Systems
- Advanced X-ray and CT Imaging
- Brake Systems and Friction Analysis
Xihua University
2022-2025
East China University of Science and Technology
2007-2024
Sinopec (China)
2024
North China Electric Power University
2022
State Key Laboratory of Vehicle NVH and Safety Technology
2022
Shanghai University of Engineering Science
2021
State Council of the People's Republic of China
2021
Southwest Jiaotong University
2015-2021
Czech Academy of Sciences, Institute of Biotechnology
2021
Beijing Institute of Radio Metrology and Measurement
2019
A turn-on isatin receptor based naphthalimide fluorescent probe encapsulated in PEG was used to rapidly detect peroxynitrite cells.
Sparse representations based on convolutional sparse dictionary learning (CSDL) provides an excellent framework for extracting fault impulse response caused by bearing faults. In order to achieve fast learning, most CSDL-based diagnosis techniques recommend truncating the original data. However, choice of truncation length is very difficult. An improper will lead problems pattern rupture and uneven sparsity distribution. By contrast, if data are not truncated, these occur. this result in...
Repetitive impact detection (RID) is a core topic in bearing fault detection. The deconvolution-based method an effective RID. Many deconvolution algorithms have been developed for this purpose. Simplified sparse filtering (SSF) typical method, which has successfully applied RID due to its remarkable performance and fast computing speed. SSF generates inverse filter by minimizing the generalized Lp/Lq (G-Lp/Lq) norm. of depends on properties G-Lp/Lq. However, G-Lp/Lq cannot characterize...
Since minimum correlated generalized Lp/Lq deconvolution (MCG-Lp/Lq-D) cannot simultaneously have a good sensing ability to repetitive fault impulses and strong robustness noise when processing low SNR signals, new method, improved (MICG-Lp/Lq-D), is proposed in this article. The method designed based on novel norm, the (ICG-Lp/Lq) norm. ICG-Lp/Lq norm not only has low-order statistics form that similar (CG-Lp/Lq) used MCG-Lp/Lq-D, but also high shift-order signal correlation construction...
The key to exploring the behavior of bearings through dynamic methods lies in establishing an accurate model for calculating contact load between roller and raceway. Based on half-space theory Boussinesq, this study developed a full-order finite line roller. adopted iterative procedure calculate each slice according deformations. According comparisons loads obtained by proposed those FEA, average error cylindrical was approximately 2%, while that tapered 17%. By neglecting influences...
Sparse representation has been widely used in bearing fault impact detection, which can find the that best matches waveform from pre-defined dictionary and recover impulse waveform. However, current of sparse efficiency algorithm need to be improved. In order accurately detect original signal, a convolutional coding using pathfinder algorithm-optimized orthogonal matching pursuit with asymmetric Gaussian chirplet model (CSC-OAGCM) is proposed this paper. A new time-frequency atom prototype,...
The health status of bearing is directly related to the safe operation rotating machinery. Bearing fault detection technology great significance reduce or eliminate safety accidents. Singular value decomposition (SVD), as an effective low-rank approximation tool data matrix, widely used in detection. construction trajectory matrix and selection singular are two important factors that affect performance SVD-based diagnosis methods. In this paper, a new similar SVD, shifted rank-1...
Abstract In this paper, a vehicle track coupling dynamic model including bearing outer ring defects is built, the time history of axle‐box vibration acceleration and roller‐outer raceway contact load under condition random irregularity on Beijing‐Tianjin line are obtained by simulation calculation. The results show that when defect occurs, axle box will generate high‐frequency at resonance peak in vertical lateral directions. When small width 1 mm, roller only imposes one impact passing...
Flame image feature extraction is the basis for boiler combustion monitoring and control. The flame video images of recent research are mainly derived from experimental burners in laboratory, few pay attention to industrial boilers. actual differ significantly laboratory images. Additionally, certain features cannot be captured owing limitations camera installations. Therefore, a texture algorithm based on an proposed this paper. were enhanced using Gabor filter RGB channels images, then,...
The bioderacemization of racemic phosphinothricin (D, L-PPT) is a promising route for the synthesis l-phosphinothricin (L-PPT). However, low activity and tolerance wild-type enzymes restrict their industrial applications. Two stereocomplementary aminotransferases with high substrate were identified in metagenomic library, one-pot, two-stage artificial cascade biocatalytic system was developed to produce L-PPT through kinetic resolution asymmetric amination. We observed that 500 mM D, (100...
With the increasing demand for outdoor recreation and fitness, this study aims to assess connectivity of green (OGR) network from perspective travel propose optimization framework. The Point Interest (POI) Area (AOI) datasets OGR spots in Zhengzhou were utilized as primary research materials. A combination GIS spatial analysis Graph index calculation is employed quantify diagnose based on multi-source data (land cover, topography, road network). system cost surface establishment was improved...
In social networks, nodes (or users) interested in specific topics are often influenced by others. The influence is usually associated with a set of rather than single one. An interesting but challenging task for any given topic and node to find the that represents source or trigger thus identify those have greatest on as spreads. We it an NP-hard problem. This paper proposes effective framework deal this First, propagation represented Bayesian network. then construct model variant voter...
Amine transaminases offer an environmentally benign chiral amine asymmetric synthesis route.
A multilayer recurrent fuzzy neural network (MRFNN) is proposed for dynamic system modeling in this paper. The MRFNN has six layers combined with T-S model. structures are formed by local feedback connections the membership layer and rule layer. With these feedbacks, sets time-varying temporal problem of can be solved well. parameters learned modified chaotic search (CS) least square estimation (LSE) simultaneously, where CS tuning premise LSE updating consequent coefficients accordingly....
Infrared thermography (IRT) has been used to screen febrile passengers in international airports for over a decade. However, fever-based infection screening using IRT suffered from low sensitivity because measurements can be affected by ambient temperature, humidity, etc. In our previous study, we proposed an RGB-thermal image fusion system measure vital signs i.e., the RGB camera detects tiny changes color facial skin, associated with blood flow, estimate heart rate, and senses temperature...
The predecessor of China Optics was and Applied Digest, which founded in 1985. At that time, it the only retrieval journal field optics China. end 2008, Digest renamed