A5043676611- Machine Fault Diagnosis Techniques
- Reliability and Maintenance Optimization
- Gear and Bearing Dynamics Analysis
- Software Reliability and Analysis Research
- Fault Detection and Control Systems
- Statistical Distribution Estimation and Applications
- Risk and Safety Analysis
- Engineering Diagnostics and Reliability
- Probabilistic and Robust Engineering Design
- Advanced machining processes and optimization
- Tribology and Lubrication Engineering
- Structural Health Monitoring Techniques
- Electrocatalysts for Energy Conversion
- Fuel Cells and Related Materials
- Mechanical Engineering and Vibrations Research
- Advanced Battery Technologies Research
- Ultrasonics and Acoustic Wave Propagation
- Non-Destructive Testing Techniques
- Advanced Measurement and Detection Methods
- Image and Signal Denoising Methods
- Power System Reliability and Maintenance
- Life Cycle Costing Analysis
- Advanced battery technologies research
- Advanced Multi-Objective Optimization Algorithms
- Catalytic Processes in Materials Science
University of Alberta
2016-2025
Hefei National Center for Physical Sciences at Nanoscale
2013-2025
University of Science and Technology of China
2015-2025
Northeast Normal University
2025
Xi'an University of Science and Technology
2025
University of Electronic Science and Technology of China
2015-2024
Hefei Institutes of Physical Science
2023-2024
Chinese Academy of Sciences
2020-2024
University of Shanghai for Science and Technology
2024
Harbin Institute of Technology
2024
Abstract Single-atom catalysts (SACs) exhibit intriguing catalytic performance owing to their maximized atom utilizations and unique electronic structures. However, the reported strategies for synthesizing SACs generally have special requirements either anchored metals or supports. Herein, we report a universal approach of electrochemical deposition that is applicable wide range supports fabrication SACs. The depositions were conducted on both cathode anode, where different redox reactions...
Abstract It is known that the main-group metals and their related materials show poor catalytic activity due to a broadened single resonance derived from interaction of valence orbitals adsorbates with broad sp-band metals. However, Mg cofactors existing in enzymes are extremely active biochemical reactions. Our density function theory calculations reveal (Mg, Al Ca) oxygen reduction reaction severely hampered by tight-bonding centers hydroxyl group intermediate, while atom coordinated two...
The multistate networks under consideration consist of a source node, sink and some independent failure-prone components in between the nodes. can work at different levels capacity. For such network, we are interested evaluating probability that flow from node to is equal or greater than demanded d units. A general method for reliability evaluation using minimal path (cut) vectors. vector system state called d-MP. Approaches generating all d-MPs have been reported. Given found, issue becomes...
For the data-driven remaining useful life (RUL) prediction for rolling bearings, traditional machine learning-based methods generally provide insufficient feature representation and adaptive extraction. Although deep RUL can solve these problems to some extent, they still do not yield satisfactory predictive results due less degradation data inconsistent distribution among different bearings. To problems, a new method based on transfer learning is proposed in this paper. This includes an...
By intercalation of alkaline-earth metal Sr in Bi2Se3, superconductivity with large shielding volume fraction (~91.5% at 0.5 K) has been achieved Sr0.065Bi2Se3. The analysis the Shubnikov-de Hass oscillations confirms 1/2-shift expected from a Dirac spectrum, giving transport evidence existence surface states. Importantly, SrxBi2Se3superconductor is stable under air, making SrxBi2Se3 compound an ideal material base for investigating topological superconductivity.
The critical issue for fault diagnosis of wheel-set bearings in high-speed trains is to extract features from vibration signals. To handle high complexity, strong coupling, and low signal-to-noise ratio the signals, this article proposes a novel multibranch multiscale convolutional neural network that can automatically learn fuse abundant complementary information multiple signal components time scales proposed method combines conventional filtering methods idea learning, which extend...
In this study, a novel time-frequency (TF) analysis method, referred to as the scaling-basis chirplet transform (SBCT), is developed by extending conventional transform. This method includes replacement kernel function that can vary chirp rate with frequency and time scaling TF basis at around corresponding center. enables chirplets accurately match targeted slopes for every trajectory of multicomponent signal within any window length. Therefore, representation obtained via SBCT achieve...
Abstract The homogeneity of single-atom catalysts is only to the first-order approximation when all isolated metal centers interact identically with support. Since realistic support various topologies or defects offers diverse coordination environments, realizing real requires precise control over anchoring sites. In this work, we selectively anchor Ir single atoms onto three-fold hollow sites (Ir 1 /T O –CoOOH) and oxygen vacancies /V on defective CoOOH surface investigate how modulate...
The two-dimensional surface or one-dimensional interface of heterogeneous catalysts is essential to determine the adsorption strengths and configurations reaction intermediates for desired activities. Recently, development single-atom has enabled an atomic-level understanding catalytic processes. However, it remains obscure whether conventional concept mechanism are applicable zero-dimensional single atoms. In this work, we arranged locations atoms explore their interfacial interactions...
Supported ordered intermetallic compounds exhibit superior catalytic performance over their disordered alloy counterparts in diverse reactions. But the synthesis of catalysts often requires high-temperature annealing that leads to sintering metals into larger crystallites. Herein, we report a small molecule-assisted impregnation approach realize general family catalysts, consisting 18 binary platinum supported on carbon blacks. The molecular additives containing heteroatoms (that is, O, N,...