A5002722139- Structural Health Monitoring Techniques
- Ultrasonics and Acoustic Wave Propagation
- Bladed Disk Vibration Dynamics
- Gear and Bearing Dynamics Analysis
- Tribology and Lubrication Engineering
- Sparse and Compressive Sensing Techniques
- Optical measurement and interference techniques
- Probabilistic and Robust Engineering Design
- Aerodynamics and Acoustics in Jet Flows
- Mechanical Engineering and Vibrations Research
- Machine Fault Diagnosis Techniques
- Advanced machining processes and optimization
- Vehicle Noise and Vibration Control
- Acoustic Wave Phenomena Research
- Advanced Measurement and Detection Methods
- Image and Signal Denoising Methods
- Vibration and Dynamic Analysis
- Turbomachinery Performance and Optimization
- Fatigue and fracture mechanics
- Advanced Measurement and Metrology Techniques
- Magnetic Bearings and Levitation Dynamics
- Geophysical Methods and Applications
- Combustion and flame dynamics
- Fault Detection and Control Systems
- Hydraulic and Pneumatic Systems
Xi'an Jiaotong University
2015-2024
China XD Group (China)
2021
University of Massachusetts Lowell
2020
Shanghai Jiao Tong University
2008
Bearing faults are one of the most common inducements for machine failures. Therefore, it is very important to perform bearing fault diagnosis reliably and rapidly. However, fundamental but difficult extract impulses buried in heavy background noise diagnosis. In this paper, a novel adaptive enhanced sparse period-group lasso (AdaESPGL) algorithm proposed. The based on proposed group penalty, which promotes sparsity within across groups impulsive feature faults. Moreover, periodic prior...
Machinery fault diagnosis has progressed over the past decades with evolution of machineries in terms complexity and scale. High-value require condition monitoring to guarantee their designed functions performance throughout lifetime. Research on machinery Fault diagnostics grown rapidly recent years. This paper attempts summarize review R&D trends basic research field four main aspects: mechanism, sensor technique signal acquisition, processing, intelligent diagnostics. The discusses...
Force identification is a classical inverse problem, in which the measured data and mathematical models of mechanical structures are used to determine applied force. However, identified force may seriously diverge from true solution due unknown noise contaminating ill-posed transfer matrix characterizing structure. In this paper, novel method based on discrete cosine transform (DCT) time domain proposed for identification, overcomes deficiency ill-posedness matrix. The expanded by set basis...