Chenglong Ge

ORCID: 0000-0002-2415-0252
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About
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Research Areas
  • Reliability and Maintenance Optimization
  • Machine Fault Diagnosis Techniques
  • Manufacturing Process and Optimization
  • Fault Detection and Control Systems
  • Optimization and Packing Problems
  • Advanced Manufacturing and Logistics Optimization
  • Real-time simulation and control systems
  • Target Tracking and Data Fusion in Sensor Networks
  • Simulation Techniques and Applications
  • Air Traffic Management and Optimization
  • Industrial Technology and Control Systems
  • Advanced Data Processing Techniques
  • Software Reliability and Analysis Research
  • Traffic Prediction and Management Techniques
  • Advanced Sensor and Control Systems
  • Advanced Statistical Process Monitoring

Nanjing University of Posts and Telecommunications
2024

PLA Information Engineering University
2023

Shijiazhuang University
2019

PLA Army Engineering University
2019

Ordnance Engineering College
2016-2017

As an emerging simulation technology in the field of system modeling and simulation, equipment symbiotic has become research emphasis. In maintenance support, outstanding problem remaining useful life (RUL) prediction is analyzed, i.e., stable model parameters without self-evolution ability, which primary factor that hinders self-adaptive RUL. Combined with parallel systems theory, RUL oriented framework proposed on basis analysis Wiener state space (SSM) taken as basic framework. Driven by...

10.1142/s1793962318500095 article EN Advances in Complex Systems 2017-08-17

Equipment parallel simulation is an emerging technology in recent years, and equipment remaining useful life (RUL) prediction oriented important branch of simulation. An concept the model evolution driven by real-time data, including selection parameter evolution. The current research on RUL mainly focuses a single continuous degradation mode, such as linear nonlinear degradation. Under this condition, methods can effectively predict RUL. However, practice, most processes exhibit mixture...

10.1155/2019/9179870 article EN Computational Intelligence and Neuroscience 2019-03-12

In the realm of aviation, trajectory data play a crucial role in determining target's flight intentions and guaranteeing safety. However, collection process can be hindered by noise or signal interruptions, thus diminishing precision data. This paper uses bidirectional encoder representations from transformers (BERT) model to solve problem masking high-precision automatic dependent survey broadcast (ADS-B) estimating mask position value based on front rear points during BERT training....

10.3390/s23229120 article EN cc-by Sensors 2023-11-11

The latest demands for remaining useful life (RUL) prediction are online prediction, real-time and adaptive prediction. This paper addresses the of RUL proposes a novel framework parallel simulation based equipment RUL. In framework, Wiener state space model (WSSM) is developed to achieve aim, which considers whole historical data monitoring noise. Driven by observation data, degradation estimated Kalman filter assimilation WSSM parameters updated expectation maximum algorithm. An analytical...

10.21595/jve.2018.18973 article EN Journal of Vibroengineering 2018-08-14

10.13700/j.bh.1001-5965.2017.0262 article EN Beijing Hangkong Hangtian Daxue xuebao 2018-04-20
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