A5086177747- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Fault Detection and Control Systems
- Advanced machining processes and optimization
- Railway Engineering and Dynamics
- Structural Health Monitoring Techniques
- Nanoparticle-Based Drug Delivery
- Advanced Measurement and Detection Methods
- Engineering Diagnostics and Reliability
- Advanced Multi-Objective Optimization Algorithms
- Surface Roughness and Optical Measurements
- RNA Interference and Gene Delivery
- Non-Destructive Testing Techniques
- Probabilistic and Robust Engineering Design
- Vehicle Dynamics and Control Systems
- Characterization and Applications of Magnetic Nanoparticles
- Transport Systems and Technology
- Reliability and Maintenance Optimization
- Vehicle Noise and Vibration Control
- Supramolecular Self-Assembly in Materials
- Hydrogels: synthesis, properties, applications
- Astronomical Observations and Instrumentation
- Civil and Geotechnical Engineering Research
- Vehicle License Plate Recognition
- Advanced Drug Delivery Systems
Tongji University
2022-2025
University of Manitoba
2024-2025
Nanjing University of Science and Technology
2014-2022
University of Alberta
2015-2021
Southeast University
2010-2019
State Key Laboratory of Digital Medical Engineering
2010-2019
China Academy of Engineering Physics
2017
Beijing Jiaotong University
2016
Shanghai Institute of Materia Medica
2011
Chinese Academy of Sciences
2011
Planetary gearbox fault detection is important in terms of life-threatening failure prevention and maintenance optimization. This paper focuses on the representation planetary baseline vibration signals via time series models. Faults can be detected by examining any changes model residuals or parameters. Varying index coefficient autoregression (VICAR) a good option for accurately modeling complex nonlinear data-generating-processes. Applying VICAR to represent nonstationary vibrations from...
In industry (e.g., wind power), gearboxes often operate under random speed variations. A condition monitoring system is expected to detect faults and assess their severity using vibration signals collected different profiles. few studies have been reported for of variations, including a novelty diagnostic method support vector machine (SVM) based method. However, these methods either are on the strict assumption that rotating does not vary significantly within cycle or drawback low...
The gearbox is widely applied as the mechanical transmission system of intelligent manufacturing systems, such machine tools and robotics. harsh working environments make gear surface prone to wear. progression wear can bring severe failures tooth, including tooth root crack, spalling breaking, all which could damage whole system. Hence, it essential monitor evaluate propagation. has been proven highly relevant with vibration second-order cyclostationary (CS2) characteristics. Therefore,...
Aim: Investigated the self-assembly and characterization of novel antifouling polyethylene glycol (PEG)-coated iron oxide nanoparticles as nanoprobes for magnetic resonance imaging (MRI) contrast agent. Method: Monodisperse oleic acid-coated superparamagnetic cores are synthesized by thermal decomposition oleate. The behavior between PEG-lipid conjugates in water their characteristics confirmed transmission electron microscope, X-ray diffraction, thermogravimetric analysis, Fourier transform...
Convolutional neural networks (CNN) have developed rapidly in recent years, which has greatly promoted the advancement of intelligent fault diagnosis. Most currently available CNN-based diagnostic models are under presumption that acquired mechanical signals invulnerable to noise. However, transmission systems usually operate fluctuating conditions (e.g., variable speed and strong noise scenarios), making fault-related pulse information signal easily swamped by Therefore, it is challenging...
Vold–Kalman filter (VKF) is a powerful tool for time-frequency (TF) decomposition of nonstationary signals. However, the overdependence on instantaneous frequency (IF) estimation, neglect nonlinear initial phase, and improper bandwidth selection against noise interference limit its practical performance in mechatronic transmission fault diagnosis under variable speed conditions. This article proposes novel signal processing method named iterative adaptive (IAVKF) to tackle challenges VKF...
In many applications, it is not easy to generate enough whole-life data for training a deep neural network, which may reduce the performance of health indicator (HI). To solve this problem, new HI construction method based on transfer learning proposed in article. First, multiscale domain-adversarial network extract representative features from collected under different working conditions. By introducing maximum mean discrepancy regularizer and Laplace regularizer, model can enhance...
The virtual rail trains have attracted much attention in recent years thanks to their high passenger capacity and low construction cost. In this paper, braking force distribution strategy for with three-car six-axle was studied. Based on the principle of axle load proportion distribution, method four-wheel single car under curve studied by applying I-curve theory. laws centrifugal between axles during were analyzed, lateral provided tires each can be calculated, remaining tire adhesion set...