Wei Cheng

ORCID: 0000-0002-2032-7815
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About
Contact & Profiles
Research Areas
  • Structural Health Monitoring Techniques
  • Machine Fault Diagnosis Techniques
  • Blind Source Separation Techniques
  • Fault Detection and Control Systems
  • Vehicle Noise and Vibration Control
  • Numerical methods in inverse problems
  • Acoustic Wave Phenomena Research
  • Thermoelastic and Magnetoelastic Phenomena
  • Non-Destructive Testing Techniques
  • Speech and Audio Processing
  • Bone Tissue Engineering Materials
  • Vibration and Dynamic Analysis
  • Advanced Algorithms and Applications
  • Spectroscopy and Chemometric Analyses
  • Aerodynamics and Acoustics in Jet Flows
  • Ultrasonics and Acoustic Wave Propagation
  • Composite Structure Analysis and Optimization
  • Wound Healing and Treatments
  • Engineering Diagnostics and Reliability
  • Nanoplatforms for cancer theranostics
  • Anomaly Detection Techniques and Applications
  • Manufacturing Process and Optimization
  • Gear and Bearing Dynamics Analysis
  • Reliability and Maintenance Optimization
  • Oil and Gas Production Techniques

Xi'an Jiaotong University
2015-2025

Regend Therapeutics (China)
2025

Chongqing Medical University
2024

Second Affiliated Hospital of Chongqing Medical University
2024

Institute of Modern Physics
2024

Chinese Academy of Sciences
2018-2024

Chongqing Normal University
2017-2024

GS Engineering (United States)
2024

Beihang University
2007-2024

Harbin Institute of Technology
2024

Diabetic wound healing and angiogenesis remain a worldwide challenge for both clinic research. The use of adipose stromal cell derived exosomes delivered by bioactive dressing provides potential strategy repairing diabetic wounds with less scar formation fast healing. In this study, we fabricated an injectable adhesive thermosensitive multifunctional polysaccharide-based (FEP) sustained pH-responsive exosome release promoting FEP possessed properties including efficient antibacterial...

10.1021/acsnano.9b03656 article EN ACS Nano 2019-09-04

Traditional skin tumor surgery and chronic bacterial-infection-induced wound healing/skin regeneration is still a challenge. The ideal strategy should eliminate the tumor, enhance formation, be anti-infection. Herein, we designed multifunctional elastomeric poly(l-lactic acid)–poly(citrate siloxane)–curcumin@polydopamine hybrid nanofibrous scaffold (denoted as PPCP matrix) for tumor-infection therapy infection-induced healing. matrix showed intrinsically properties including antioxidative,...

10.1021/acsnano.9b07173 article EN ACS Nano 2020-02-07

Intelligent manufacturing is regarded as the next generation mode with powerful learning and cognitive capacities enabled by new information technologies such Internet of Things, big data analytics, edge computing artificial intelligence. To provide an insight into intelligent manufacturing, this paper takes autonomous cell implementation scenario proposes a data- knowledge-driven framework for digital twin (DTMC), which could support perceiving, simulating, understanding, predicting,...

10.1016/j.procir.2019.04.084 article EN Procedia CIRP 2019-01-01

The efficient cutaneous wound healing accompanied with the enhanced skin appendage regeneration is still a challenge. bacterial infection and excessive/prolonged inflammation inhibit process result in scar formation. Herein, we reported an anti-inflammatory polycitrate-polyethyleneimine-Ibuprofen (PCEI) multifunctional PCEI-based F127-ε-polypeptide-alginic (FEA) dressing (FEA-PCEI) for accelerating hair follicle neogenesis. PCEI showed excellent anti-inflammation function through stimulating...

10.1016/j.bioactmat.2020.09.008 article EN cc-by-nc-nd Bioactive Materials 2020-09-23

The production of reactive oxygen species, persistent inflammation, bacterial infection, and recurrence after a tumor resection has become the main challenge in cancer therapy post-surgical skin regeneration. Herein, we report multifunctional branched bioactive Si-Ca-P-Mo glass-ceramic nanoparticle (BBGN) with inlaid molybdate nanocrystals for an effective melanoma or infection defected reconstruction. Mixed-valence molybdenum (Mo4+ Mo6+) doped BBGN (BBGN-Mo) was first synthesized via...

10.1021/acsnano.1c03214 article EN ACS Nano 2021-09-07

Domain adaptation can transfer cross-domain diagnosis knowledge by minimizing the divergence of labeled source and unlabeled target data. However, model neglects to maximize physics prior during feature extraction distribution alignment, resulting in a noninterpretable even negative transfer. Hence, physics-informed domain network, termed adaptive fault attention residual network (AFARN), is proposed. First, an mechanism designed refine features guided bearing characteristics, suited...

10.1109/tii.2022.3177459 article EN IEEE Transactions on Industrial Informatics 2022-05-24

Machinery remaining useful life (RUL) prediction has important guiding significance for prognostics and health management. In order to improve the accuracy of RUL model under different working conditions, transfer method on domain adaptation (DA) achieved preliminary results. However, one hand, existing DA methods mostly use a single vibration signal predict RUL, resulting in low robustness. On other force without considering degradation information specific target domain, negative transfer....

10.1109/tii.2024.3359455 article EN IEEE Transactions on Industrial Informatics 2024-02-14

Wall penetration and weld crack leakage of pressure pipelines threaten its service safety. Although Acoustic Emission (AE) technology has been applied to online monitoring, the high sampling frequency poses a huge strain on data transmission processing. A lightweight intelligent architecture for monitoring in pipeline is proposed address this, which can effectively learn high-level abstract features from compressed AE data. Aiming at problem that existing form single divorced engineering...

10.1109/tim.2023.3298393 article EN IEEE Transactions on Instrumentation and Measurement 2023-01-01

Brain-computer interface (BCI) systems provide an alternative communication and control approach for people with limited motor function. Therefore, the feature extraction classification should differentiate relative unusual state of motion intention from a common resting state. In this paper, we sought novel multi-class in BCI applications. We collected electroencephalographic (EEG) signals registered by electrodes placed over scalp during left hand imagery, right ten healthy human subjects....

10.1063/1.4959983 article EN Review of Scientific Instruments 2016-08-01
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