A5062894841- Fault Detection and Control Systems
- Nuclear physics research studies
- Risk and Safety Analysis
- Machine Fault Diagnosis Techniques
- Reliability and Maintenance Optimization
- Magnetic Bearings and Levitation Dynamics
- Atomic and Molecular Physics
- Astronomical and nuclear sciences
- Anomaly Detection Techniques and Applications
- Tribology and Lubrication Engineering
- Advanced Aircraft Design and Technologies
- Advanced Sensor Technologies Research
- Probabilistic and Robust Engineering Design
- Nuclear Physics and Applications
- Combustion and Detonation Processes
- Structural Health Monitoring Techniques
- Turbomachinery Performance and Optimization
- Recycling and Waste Management Techniques
- Algal biology and biofuel production
- Microplastics and Plastic Pollution
- Smart Grid and Power Systems
- Adhesion, Friction, and Surface Interactions
- Software Reliability and Analysis Research
- Advanced Chemical Physics Studies
- Quantum Chromodynamics and Particle Interactions
Jiangsu University
2024-2025
Nanjing University of Aeronautics and Astronautics
2016-2025
Jilin Electric Power Research Institute (China)
2024
Mie University
2024
Dalian University of Technology
2024
Ministry of Industry and Information Technology
2021
State Key Laboratory of Nuclear Physics and Technology
2013-2018
Peking University
2013-2018
Brunel University of London
2016
Centre for Sustainable Energy
2016
The vast potential of system health monitoring and condition based maintenance on modern commercial aircraft is being realized through the innovative use Airplane Condition Monitoring System (ACMS) data. However there are few methods addressing issues failure prognostics predictive for Air Conditioning (ACS). This study developed a Bayesian approach using ACMS data ACS. First, index characterizing ACS state inferred from multiple sensor signals driven method. Then dynamic linear model...
Electrostatic detection is a highly accurate way to monitor system performance failures at an early stage. However, due the weak electrostatic signal, it can be easily interfered with under complex real-world conditions, leading reduction in its monitoring capability. During of rolling bearings, noise drown out effective making difficult extract fault characteristics. In order solve this problem, sparse representation based on cluster-contraction stagewise orthogonal matching pursuit...
Prognostics and Health Management (PHM) has become a very important tool in modern commercial aircraft. Considering limited built-in sensing devices on the legacy aircraft model, one of challenges for airborne system health monitoring is to find an appropriate indicator that highly related actual degradation state system. This paper proposed novel extraction method based available sensor parameters Air Conditioning System (ACS) model. Firstly, specific Airplane Condition Monitoring (ACMS)...
The first heavy ion fusion–evaporation reaction study for 74Ge has been performed through the channel Zn70(Li7,2np)Ge74 at beam energies of 30 and 35 MeV. Previously known yrast band is extended to higher spins five new collective bands are established. Based on comparison with neighboring 72,76Ge isotopes, an intermediate pattern energy staggering S(I) observed in γ 74Ge. structure 74Ge, including excitation transition probabilities ground-state band, reproduced by state-of-the-art...
Abstract Accurate measurement of the charge quantity a charged particle in wear areas is crucial for monitoring and diagnosis early faults rolling bearings. The electric field redistributes due to influence conductors electrostatic system Compared complex theoretical mathematical modeling calculations, finite element model constructed by using MAXWELL can intuitively reflect induction status on probe’s sensing surface through parameter settings. Simulation analysis demonstrates that probe...
Big data analytics with deep learning approach have attracted increasing attention in transportation engineering, involving operations, maintenance, and safety. In commercial aviation sectors, operational, maintenance produced on modern aircraft is exponentially, predictive analysis of these an exciting promising field which has a potential to revolutionize aerospace industry. This study illustrates the state-of-the-art applications big for real-world case aircraft. A Long Short-Term Memory...
The in-service life of turbine blades directly affects the on-wing lifetime and operating cost aircraft engines. It would be essential to accurately evaluate remaining useful for safe engine operation reasonable maintenance decision-making. In this paper, a machine learning-based mechanism with multiple information fusion is proposed predict high-pressure blades. developed method takes account factors such as rotor speed exhaust gas temperature, well environments performance degradation....
Anomaly detection and failure prediction of gas turbines is great importance for ensuring reliable operation. This work presents a novel approach anomaly based on data-driven performance digital twin turbine engines. The developed consists two parts: uncertain (UPDT) fault capability. UPDT probabilistic representation the expected behavior real-world engines operating under various conditions. Fault capability detecting outputs that have low probability training distribution. A measure first...
This paper presents the recent development in engine gas-path components health monitoring using electrostatic sensors combination with signal-processing techniques. Two ground-based experiments are reported and exhaust gas signal-based fault-detection method is proposed. It found that water washing, oil leakage combustor linear cracking result an increase activity level of signal, which can be detected by system. For on-line components, a baseline model-based proposed multivariate state...
High-spin states of $^{123}\mathrm{Ba}$ have been studied via the $^{108}\mathrm{Cd}(^{19}\mathrm{F},3np)^{123}\mathrm{Ba}$ fusion-evaporation reaction at a beam energy 90 MeV. Several $E1$ transitions linking positive-parity $\ensuremath{\nu}({d}_{5/2}+{g}_{7/2})$ band and negative-parity $\ensuremath{\nu}{h}_{11/2}$ are observed in for first time. Evidence existence octupole correlations is presented based on systematic comparisons $B(E1)/B(E2)$ branching ratios displacements odd-$A$ Ba...
This paper addresses the issues of fault diagnosis environmental control system a certain commercial aircraft model which has high failure rate in field and causes many unplanned maintenance events. Because complexity reciprocal compensation mechanism system, it is difficult to carry out isolation timely once occurred during turnaround time, thus may cause flight delay or even cancelation. The original contribution this work propose Bayesian network–based method for where multi-information...
The aerospace industry is striving to reduce the aircraft operating costs while maintaining required safety level. Emerging technologies such as structural health monitoring long-term maintenance cost and increase availability are promoted by manufacturers. To successfully integrate technology into current process of modern commercial aviation, a clear definition structural-health-monitoring-based operational concept system level requirements required. This article proposed associated...