A5102991129- Machine Fault Diagnosis Techniques
- Advanced Sensor and Energy Harvesting Materials
- Fault Detection and Control Systems
- Oil and Gas Production Techniques
- Tactile and Sensory Interactions
- Advanced materials and composites
- Higher Education and Teaching Methods
- Product Development and Customization
- Orthopaedic implants and arthroplasty
- Hydraulic and Pneumatic Systems
- Ideological and Political Education
- Manufacturing Process and Optimization
- Conducting polymers and applications
- Magnetic Bearings and Levitation Dynamics
- Geomechanics and Mining Engineering
- Disaster Response and Management
- Occupational Health and Safety Research
- Values and Moral Education
- Bauxite Residue and Utilization
- Ocular and Laser Science Research
- Geotechnical Engineering and Soil Mechanics
- Art Education and Development
- Digital Media and Visual Art
- Tribology and Wear Analysis
- Supply Chain Resilience and Risk Management
Xi'an Jiaotong University
2010-2024
Tsinghua University
2016-2024
University Town of Shenzhen
2016-2024
Beijing University of Agriculture
2019
Dalian Maritime University
2018
Jilin University
2013
China University of Geosciences
2013
Binzhou Medical University
2009
Beijing Seismological Bureau
1986
Abstract Stress tolerance plays a vital role in ensuring the effectiveness of piezoresistive sensing films used flexible pressure sensors. However, existing methods for enhancing stress employ dome-shaped, wrinkle-shaped, and pyramidal-shaped microstructures intricate molding demolding processes, which introduce significant fabrication challenges limit performance. To address these shortcomings, this paper presents periodic microslits film made multiwalled carbon nanotubes...
A major tenet of quality co-ordination and assurance in global supply chains is to ensure continuous improvement through strategic planning, tactical employment operational tools. This study intends provide a retrospective synopsis on chain co-ordination, technology application, risk management reliability control promote further exploitation the research chains. We found that management, are few important measures for improvement.
Characteristics, such as large measurement range, good repeatability and stability, are the guarantee for a wide application of flexible three-dimensional force sensors in robots other smart devices. In this research, sensor is presented, whose structure includes force-sensitive cells, fixed under bump support layer, filled around cells. This setup allows to quickly recover, after released, ensure its excellent performance. The production method very simple has advantage large-scale low-cost...
Existing domain adaptation methods strive to align all domains equally under a single shift dimension, which poses two problems. On the one hand, multiaspect transferring factors and homogenous alignment may lead suboptimal results in more distant domains. other such global ignores local discriminatory information, making class boundary samples susceptible misclassification. Hence, three-types-of-graph-relational guided (TGGDA) is proposed. First, <italic...
Deep learning (DL) has demonstrated splendid performance in fault diagnosis with sufficient samples and ideal operating environments. However, practice, it is hard to acquire adequate from high-reliability equipment, thus inducing challenges applying DL for intelligent diagnosis. Moreover, data distribution shift occurs due working load variation or environment noise interference, severely degrading models' performance. Aiming at the above problems, this article proposes a method called Q...
In order to improve the efficiency of assembly modeling and provide a complete model for sequence planning (ASP), method based on polychromatic sets (PS) is proposed. Firstly, information 3D Component obtained by API function in SolidWorks. addition, incident matrix, matrix mapping are built. On basis these matrixes, location explored. The interference relation developed judging spatial analyzing dynamic among parts. Finally, case study given verify method.
Recently, fault diagnosis methods based on domain generalization (DG) aim to improve the performance in unseen target domains by multi-source knowledge transfer. However, existing mainly assume that source are discrete and labels known a priori, which is difficult satisfy complex changeable industrial systems. In addition, gradient update conflict caused specific information leads decline of DG performance. Therefore, this study, we relax assumption mixed setting propose novel meta-feature...
In the past decade, automotive light detection and ranging (LiDAR) has been experiencing a rapid expansion stage. Many researchers have involved in research of LiDARs installed it vehicles as means enhancing autopilot capabilities. Compared with traditional millimeter wave radar, many advantages such high imaging resolution, long measurement range, ability to reconstruct 3D information around vehicle. These features make one crucial hotspots field autopilot. The basic principles are same...
This paper strives to review the contribution of systems theory enterprise architecture and integration, make a summary methods or tools at level probe into some crucial concepts thinking applied in integration activities. As this paper, new prospects are presented tackle increasing complexity requirements on modern enterprises.
Deep-Learning (DL) methods have been successfully applied in the bearing fault diagnosis field. However, previous mainly focus on two assumptions: 1) training (source) and testing (target) data are sufficient with labels; 2) distribution of identical, which obviously easy to be violated industry. Recently, domain adaptation has adopted tackle problem insufficient labeled discrepancies. most only minimizing global discrepancies without considering conditional distribution. To remedy...
Deep learning (DL)-based methods can realize superior performance in fault diagnosis with sufficient samples and consistent distribution. However, lacking labeled hampers DL's application nuclear circulating water pump (NCWP) diagnosis. Moreover, complex varying working conditions of NCWP would remarkably lower the DL-based model because domain shift occurs data To address these problems, triplet adaptive attention multiscale Resnet (TAAMR) ensemble empirical mode decomposition-local maximum...
High-Alumina clay ore is the protective exploitation of mineral stipulated by Ministry Land and Resources. Due to its physicochemical properties characteristics are quite different from current types --refractory mineral. It usually taken as a general refractory mine high-Alumina in practical applications, which leads massive misuse great waste ore. This paper will redefine attribuation analysing differences similarities with minerals bauxite mines mineralogy, rock chemistry well physical...
Nature education is a natural environment in which people guide the public into nature and appreciate nature. Through variety of methods, they spread knowledge to promote awareness The forest park rich resources provides good place for education. By analyzing status quo domestic research, this paper puts forward problems environmental education, finds out its potential excavation, proposes theories methods applicable parks, conducts case studies combination with Beijing Olympic Forest Park....
Accurate forecasts of wave conditions are essential for marine engineering construction, development and utilization ocean resources, environmental protection, maritime safety early warning disasters. There many types monitoring techniques, such as rider buoys, acoustic Doppler current profilers, high frequency radar remote sensing [1]. Due to each the techniques has its own advantages disadvantages, it is choose develop proper according requirements applications. These commercial mainly...
Recently, fault diagnosis methods based on domain generalization aim to improve unseen target performance by learning from multiple source knowledge, and the existing mainly consider that data are multi-discrete domains labels known a priori. However, in complex changeable industrial systems, acquired monitoring usually mixed under operating conditions, it is difficult be divided into discrete data. At same time, mainstream focus strengthening one-to-one consistent alignment of feature...
This paper presents a new framework for the assembly planning of aircraft which integrates sequence (ASP) with CAPP on basis standardized mathematical model polychromatic sets. fulfills three main tasks including selection location mode and equipments, planning, process based unified model, may bring forward development direction in aircraft.