A5083442506- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Combustion and flame dynamics
- Engineering Diagnostics and Reliability
- Fault Detection and Control Systems
- Advanced Combustion Engine Technologies
- Caching and Content Delivery
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
- Web Data Mining and Analysis
- Computational Fluid Dynamics and Aerodynamics
- Opportunistic and Delay-Tolerant Networks
- Aerodynamics and Acoustics in Jet Flows
- Advanced machining processes and optimization
- Fluid Dynamics and Heat Transfer
- Topic Modeling
- Data Management and Algorithms
- Cooperative Communication and Network Coding
- Network Security and Intrusion Detection
- Internet Traffic Analysis and Secure E-voting
- Catalytic Processes in Materials Science
- Fluid Dynamics and Turbulent Flows
- Advanced Sensor and Control Systems
- Heat transfer and supercritical fluids
- Wireless Networks and Protocols
Hebei University
2020-2024
South China Agricultural University
2024
Zhejiang University
2019-2024
State Key Laboratory of Engine and Powertrain System
2023-2024
Weichai Power (China)
2021-2024
Weifang University
2024
Guangzhou University
2024
University of Missouri
2011-2023
Beijing Institute of Technology
2023
Marine Design & Research Institute of China
2023
Can we get network latency between any two servers at time in large-scale data center networks? The collected can then be used to address a series of challenges: telling if an application perceived issue is caused by the or not, defining and tracking service level agreement (SLA), automatic troubleshooting. We have developed Pingmesh system for measurement analysis answer above question affirmatively. has been running Microsoft centers more than four years, it collects tens terabytes per...
A semidecoupling methodology for developing skeletal chemical kinetic models is presented and applied to construct an enhanced model PRF (primary reference fuel) oxidation, which consists of 41 species 124 reactions. The basic idea the are consider oxidation mechanism alkane as two parts: a comprehensive part describe detailed reaction processes C0–C1 radicals molecules 'core' that couples control ignition characteristics. Accounting major weakness in existing enhancement on new mainly...
On the basis of our recent experience in developing a skeletal chemical kinetic model primary reference fuel (PRF) with semi-decoupling methodology, new general and compact toluene fuels (TRF) consisting 56 species 168 reactions is presented for oxidation gasoline surrogate fuels. The submodel added to PRF using reaction paths sensitivity analysis. An improvement has been made comparison existing models TRF on laminar flame speed important evolution, while predictions precise ignition delay...
When rolling bearing failure occurs, vibration signals generally contain different signal components, such as impulsive fault feature signals, background noise and harmonic interference signals. One of the most challenging aspects diagnosis is how to inhibit while enhancing This paper presents a novel method, namely an improved Hilbert time–time (IHTT) transform, by combining (HTT) transform with principal component analysis (PCA). Firstly, HTT was performed on derive matrix. Then, PCA...
The fault feature signal of rolling bearing can be characterized as the narrow-band with a specific resonance frequency. Therefore, demodulation analysis is powerful damage detection technique bearings. In addition to signal, measured vibration signals carry various interference components, and these components become serious obstacle extraction. Variational mode extraction novel method designed retrieve component from composite signal. founded on similar basis variational decomposition,...
A new chemical mechanism with 12 species and 26 reactions for formation of polycyclic aromatic hydrocarbons (PAHs) was developed integrated into a skeletal oxidation primary reference fuel (PRF). Coupled the PRF-PAH mechanism, an improved phenomenological soot model further constructed based on our previous work. By validating against experimental data related PAHs in four premixed laminar flames n-heptane/iso-octane three counterflow diffusion n-heptane, it is indicated that major...
The induction motor is widely used for providing the running power of rotating machinery. Its fault diagnosis significant to ensure operation safety rotary Infrared thermal image analysis based on deep learning has attracted attention many researchers due its advantages in non-destructive and space locations. However, obtaining sufficient high-quality samples practical applications relatively difficult. Developing few-shot models extending engineering application analysis. existing often...
Singular spectrum analysis (SSA) has proven to be a powerful technique for processing non-stationary signals and been widely used in the fault diagnosis of rolling bearings. Based on SSA, an adaptive signal decomposition algorithm called singular (SSD) was developed. The SSD realizes selection two critical parameters SSA (i.e., embedding dimension principal components grouping) by concentrating frequency signal. Despite that makes techniques more automated shown its potentials detecting...
Rotor is a widely used and easily defected mechanical component. Thus, it significant to develop effective techniques for rotor fault diagnosis. Fault signature extraction state classification of the extracted signatures are two key steps diagnosing faults. To complete accurate recognition states, novel evaluation index named characteristic frequency band energy entropy (CFBEE) was proposed extract defective features rotors, support vector machine (SVM) employed automatically identify types....
Fault diagnosis of rolling bearings is important for ensuring the safe operation industrial machinery. How to effectively extract fault features and select a classifier with high precision key realizing recognition bearings. Accordingly, new method based on improved fast spectral correlation optimized random forest (i.e., particle swarm optimization-random (PSO-RF)) proposed in this paper. The main contributions study are made from two aspects. One that an approach was developed form feature...
The emergence of periodic impacts in the vibration signal is considered as an essential sign rolling bearing faults. Therefore, how to distinguish impact component from interference components (e.g., harmonics and noise) raw critical for detecting kurtogram technique plays role automatic selection sub-component signals containing fault information. However, two significant shortcomings reduce its ability detect early weak transients: 1) decomposition accuracy filters used kurtogram, i.e.,...