A5054008223- Manufacturing Process and Optimization
- Advanced Measurement and Metrology Techniques
- Industrial Vision Systems and Defect Detection
- Advanced machining processes and optimization
- Surface Roughness and Optical Measurements
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Statistical Process Monitoring
- Scheduling and Optimization Algorithms
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Advanced Numerical Analysis Techniques
- Reliability and Maintenance Optimization
- Optical measurement and interference techniques
- Gear and Bearing Dynamics Analysis
- Scientific Measurement and Uncertainty Evaluation
- Advanced Manufacturing and Logistics Optimization
- Tribology and Lubrication Engineering
- Quality and Supply Management
- Assembly Line Balancing Optimization
- Adhesion, Friction, and Surface Interactions
- Advanced Multi-Objective Optimization Algorithms
- Product Development and Customization
- Advanced Statistical Methods and Models
- Engineering Technology and Methodologies
- Advanced Measurement and Detection Methods
Shanghai Jiao Tong University
2016-2025
North China Electric Power University
2024
China Electric Power Research Institute
2024
Lushang (China)
2021
State Key Laboratory of Mechanical System and Vibration
2010-2020
University of Surrey
2020
Instituto de Ciencias Agrarias
2020
Beijing Center for Disease Prevention and Control
2020
Chinese Preventive Medicine Association
2020
Shangluo University
2019
supported by the National Major ScienceTthe Chinese Academy of Medical Sciences Innovation Fund for (2020-I2M-Co V19-011 and 2016-I2M-1-014);the Natural Science Foundation China (21525521);the Beijing Advanced Center Structural Biology (ICSB);the Genomics(ICG)
The effective remaining useful life (RUL) prediction of rolling bearings could guarantee mechanical equipment reliability and stability. hybrid physical data-driven prognosis model (HPDM) is recently receiving increasing attention. However, HPDM approaches suffer from two significant challenges that limit their applicability to complex scenarios: (1) the reality gap between simulation measurement data (2) limited generality accommodate different working conditions machines. From perspective...
Abstract In face milling process, the quality of surface texture is vital for mechanical performance workpieces. The texture, especially waviness, directly affected by tool marks, a commonly observed phenomenon in milling. However, appropriate approaches evaluation and modeling marks are absent to date. Limited resolution as well efficiency conventional measurement instruments, height data hard be entirely obtained, leading valuable information omission. Besides, most existing models...
Aiming at the problems of low efficiency and poor accuracy in product surface defect detection. In this paper, an online defects detection method based on YOLOV3 is proposed. Firstly, using lightweight network MobileNetV2 to replace original backbone as feature extractor improve speed. Then, we propose extended pyramid (EFPN) extend layer for multi-size object design a novel fusing module (FFM) embedded super-resolve features capture more regional details. addition, add IoU loss function...
Chronic disease patients often require revisits for long-term care. Online medical services shift to online, which can improve the access chronic care and reduce burden on offline services. However, whether Internet healthcare truly match supply demand, one of critical issues is efficient advance scheduling integrated online systems. This study investigates problem first visit revisit in The uncertainty status (i.e., or offline) heterogeneity interval, continuity violation penalty) are...
Abstract Face milling is widely used in machining processes, aimed at providing workpieces with high surface quality. The chatter generated face could lead to tremendous damage machine tools, poor machined quality, and loss of processing efficiency. Most related researches have been focused on the modeling spindle dynamics discretization algorithms for prediction. However, few published articles taken geometric characteristics into consideration, especially discontinuous surfaces milling,...
The ability to produce multiple types of products using the same manufacturing system plays an essential role in success a enterprise. Meanwhile, most complex systems include many stages, called multistage (MMSs). MMS has cascade property, which means product quality is not only affected by current stage, but also related outputs upstream stage. Multiproduct MMSs (M3Ss) have been widely applied industry. Thus, this paper devoted modeling and analyzing steady-state M3Ss for improvement....
Satisfying the quality requirement of products in multistage machining processes (MMPs) is significant and challenging nowadays. In spite success stream variation (SoV) theory propagation modelling for MMPs, absence elastic deformation variations could be an important factor that limits its application variable stiffness structure (VSS) workpieces. To this end, a generic framework MMPs VSS workpieces established, incorporating induction variations. Region division strategy adopted according...
The surface appearance is sensitive to change in the manufacturing process and one of most important product quality characteristics. classification workpiece patterns critical for control, because it can provide feedback on process. In this study, a novel approach engineering surfaces proposed by combining dual-tree complex wavelet transform (DT-CWT) selective ensemble classifiers called modified matching pursuit optimization with multiclass support vector machines (MPO-SVME), which adopts...
The shape of a machined surface significantly impacts its functional performance and exhibits different spatial variation patterns that reflect process conditions. Classification these into interpretable classes can greatly facilitate manufacturing fault detection diagnosis. High-definition metrology (HDM) generate high density data detect small differences workpiece surfaces, which better than traditional measurement methods in In this paper, novel adaptive support vector machine...