A5101415302- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Engineering Diagnostics and Reliability
- Fault Detection and Control Systems
- Tribology and Lubrication Engineering
- Digital Imaging for Blood Diseases
- Digital Holography and Microscopy
- Geochemistry and Geologic Mapping
- Mining Techniques and Economics
- Microfluidic and Bio-sensing Technologies
- Photonic and Optical Devices
- Electric Power System Optimization
- Near-Field Optical Microscopy
- Optimal Power Flow Distribution
- Power System Reliability and Maintenance
- Orbital Angular Momentum in Optics
- Merger and Competition Analysis
- Smart Grid and Power Systems
- Blood properties and coagulation
- Power Systems and Technologies
- Smart Grid Energy Management
Beijing University of Chemical Technology
2021-2025
Anhui Medical University
2019-2022
Classification of the morphology red blood cells (RBCs) plays an extremely important role in evaluating quality long-term stored blood, as RBC storage lesions such transformation discocytes to echinocytes and then spherocytes may cause adverse clinical effects. Most segmentation classification methods, limited by interference staining procedures poor details, are based on traditional bright field microscopy. In present study, quantitative phase imaging (QPI) technology was combined with deep...
Solar filaments are one of the most prominent features observed on Sun, and their evolutions closely related to various solar activities, such as flares coronal mass ejections. Real-time automated identification is effective approach managing large volumes data. Existing models filament characterized by parameter sizes high computational costs, which limit future applications in highly integrated intelligent ground-based space-borne observation devices. Consequently, design more lightweight...
The current classical blood smear technique to observe the morphology of single red cells (RBCs) for classification is a laborious and error-prone process. To objectively evaluate cells, we established method computational imaging based on programmable light emitting diode array. By using quantitative differential phase contrast (qDPC), characterized unlabeled RBCs as well smears. focusing comparing difference between stained under multimode microscopic technology, demonstrated that qDPC...
In this paper, one of most widely utilized rolling bearings in rotating machinery is selected as the research object. Automatic bearing fault identification model including support vector machine (SVM) training module, classification knowledge base and automatic module proposed. A generalized method for faults based on refined composite multi-scale dispersion entropy (RCMDE) developed. First, order to solve problem setting value range decomposition level K empirical variational modal (VMD),...
In this paper, rotor systems of the rotating machinery such as steam turbines, centrifugal compressors and flue gas turbines are selected research objects.At present, most system fault diagnosis methods based on artificial intelligence algorithms in laboratory stage, there is still a gap from actual industrial application.Therefore, multi-source domain improved (MSDIFD) method for satisfying engineering applications proposed paper.Firstly, typical labeled data to construct training feature...
The research on fault diagnosis methods based generative adversarial networks has achieved fruitful results, but most of the objects are rolling bearings or gears, and model test data almost all derived from laboratory bench data. In industrial Internet environment, equipment-fault is faced with characteristics large amounts data, unbalanced samples, inconsistent file lengths. Moreover, there few results rotor systems composed shafts, impellers blades, couplings, tilting pad bearings. There...
Abstract Aiming at the performance degradation caused by wear of face contacting mechanical seal during operation, and lack effective monitoring methods evaluation indicators for predictive maintenance, a test rig was built. The vibration closing force signals were collected. relationship between with phase change law clarified. characteristic parameters studied sensitive characteristics time domain, frequency domain time-frequency screened. incipient fault detection method assessment seals...
A mechanical seal is a common type of rotating shaft in machinery and plays key role the fluid machinery, such as centrifugal pumps compressors. Given performance degradation caused by wear to face contact during operation lack effective predictive maintenance monitoring methods evaluation indexes, method for measuring acceleration face’s vibration was pro-posed. The influence rotational speed change on tribo-logical regime investigated. proposed fault detection model based support vector...
Aiming at the problem that equipment maintenance data in power network are scattered, knowledge structure is different from each other, and single source information difficult to accurately characterize overall condition of equipment, it necessary evaluate state grid order reduce requirements reducing outage or even no maintenance. In this paper, a evaluation method distribution based on multi-source heterogeneous fusion proposed. Firstly, processed, structured transformed into recursive...