Jinsheng Song

ORCID: 0009-0006-2267-1405
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Plasma and Flow Control in Aerodynamics
  • Aerodynamics and Acoustics in Jet Flows
  • Fluid Dynamics and Turbulent Flows
  • Fluid Dynamics and Vibration Analysis
  • Computational Fluid Dynamics and Aerodynamics
  • Fault Detection and Control Systems
  • Aerodynamics and Fluid Dynamics Research
  • Structural Health Monitoring Techniques
  • Model Reduction and Neural Networks
  • Offshore Engineering and Technologies
  • Hydraulic Fracturing and Reservoir Analysis
  • Aerospace and Aviation Technology
  • Soil, Finite Element Methods
  • Risk and Safety Analysis
  • Machine Fault Diagnosis Techniques
  • Engineering Diagnostics and Reliability
  • Heat and Mass Transfer in Porous Media
  • Groundwater flow and contamination studies

Shanghai Jiao Tong University
2022-2024

Beijing Automotive Group (China)
2024

Beijing Institute of Power Machinery (China)
2021

Shandong University
2017

China University of Petroleum, East China
2016

Fault diagnosis and classification (FDC) is an important part of prognostics health management for ensuring safety performance in the flight. However, it challenging to achieve accurate FDC only based on single senor readings. In this paper, a fused model among multiple different sensors stabled by hybrid deep learning architecture combining sparse autoencoder (SAE) convolutional neural network (CNN). The uses SAE enhance hidden fault signal features sensor signals, then classifies obtained...

10.1109/access.2022.3216573 article EN cc-by IEEE Access 2022-01-01

Abstract Fault diagnosis of multi-source signal systems is critical for the safe and reliable operation modern industrial systems, accurate fault based on signals remains challenging. This study proposes a data-driven hybrid detection/diagnosis method to identify sensor faults in complex through interactions between multiple sensors. Dynamic mode decomposition with control used obtain approximate model investigated system from signals, extract underlying physical mechanisms, combined Kalman...

10.1088/1361-6501/ad3976 article EN Measurement Science and Technology 2024-04-02

<title>Abstract</title> The wake dynamics of the flow past a confined circular cylinder and its active control by sweeping jets (SWJs) steady (SJs) positioned at front stagnation points were experimentally investigated using Particle Image Velocimetry (PIV) pressure measurements. Experiments conducted across range Reynolds numbers (Re) from 10,000 to 45,000 blockage ratios (β) \(1/2\), \(1/3\), \(1/4\), \(1/5\). A comprehensive comparison between current results existing literature on...

10.21203/rs.3.rs-4381345/v1 preprint EN cc-by Research Square (Research Square) 2024-05-14

In order to resolve the resonance problem of jack-up riser with drill string, frequency equation natural transverse vibration compressive axial load and length above seabed as independent variable was derived in this paper.Then solved by Newton method, accuracy calculation method without analyzed.In addition, a resonant rotating speed table top-drive system (TDS) made according relationship between frequency.The results show that: proposed paper is more accurate than Rayleigh method;...

10.2991/icmmbe-16.2016.18 article EN cc-by-nc 2016-01-01

Abstract The present study optimized some novel fluidic oscillator designs, measured their internal-external fluid dynamics, and used modal analysis to reveal underlying oscillation mechanisms. It also investigated the effects of structural parameters on dynamics. time-resolved pressure fields oscillators were determined by using pressure-sensitive paint (PSP) measurement. Proper orthogonal decomposition (POD) dynamic mode (DMD) for phase reconstruction. time-averaged pressure-field...

10.21203/rs.3.rs-3402380/v1 preprint EN cc-by Research Square (Research Square) 2023-10-11
Coming Soon ...