- Advanced Sensor and Control Systems
- Hydraulic and Pneumatic Systems
- Machine Fault Diagnosis Techniques
- Robotics and Sensor-Based Localization
- Indoor and Outdoor Localization Technologies
- Distributed Control Multi-Agent Systems
- earthquake and tectonic studies
- Fault Detection and Control Systems
- High-pressure geophysics and materials
- Geological and Geochemical Analysis
- Industrial Technology and Control Systems
- Advanced Algorithms and Applications
- Geoscience and Mining Technology
- Drilling and Well Engineering
- Infrastructure Maintenance and Monitoring
- Target Tracking and Data Fusion in Sensor Networks
Hefei University of Technology
2018-2021
Peking University
2007
With the rapid advancements in artificial intelligence (AI), 5G technology, and robotics, multi-sensor fusion technologies have emerged as a critical solution for achieving high-precision localization mobile robots operating within dynamic unstructured environments. This study proposes novel hybrid framework that combines Extended Kalman Filter (EKF) Recurrent Neural Network (RNN) to address challenges such sensor frequency asynchrony, drift accumulation, measurement noise. The EKF provides...
To use acoustic-emission technology to detect leaks inside valves, the necessary first step is model valve-internal-leakage signal (VILAES) mathematically. A multi-variable classification that relates VILAES characteristics and leakage rate under varying pressure built by combining time–frequency domain random-forest method. Butterworth bandpass filter used preprocess from a liquid medium, best frequency band for filtering determined as being 140 kHz–180 kHz. Then, (i) standard deviation,...
Abstract Accurate position information is crucial for unmanned aerial vehicles (UAV) to execute tasks. To balance the contradiction between payload and localization accuracy of rotary UAVs, a cooperative method UAV swarms based on factor graph model studied in this paper. Each equipped with local model. A distributed model-solving method, AGA-Gauss–Newton conjugate gradient (GNCG), which combines an adaptive genetic algorithm improved GNCG algorithm, proposed. The issue falling into optimal...
Abstract In this paper, high quality seismic data in 1964~2003 from the ISC (International Seismological Centre) catalog are used to present a relatively more complete and definite geometric structure of intermediate zone Pamir‐Hindu Kush region. Dip directions largest depth Hindu (H zone) Pamir (P change along strike, so they can be further divided into five segments: HW (west segment H zone), HE (east PSW (southwest P PM (middle PNE (northeast zone). There is gap at about 170~190 km depth,...
Abstract Theoretical analysis and experimental data show that the acoustic emission (AE) technology can detect internal leakage state of valve online. One its key technologies is to determine relationship between characteristic AE signal (VILAES) rate various parameters. However, most currently established models are a single‐variable model. In addition, repeated verification experiments rarely introduced, conducted under large rate. To this end, mixed multiple‐variable model built describe...
In order to achieve acoustic emission detection in valve internal leakage, it is essential extract features, and establish an accurate mathematical model. Current leakage signal (VILAES) classification models mostly rely on human experience for selecting resulting low accuracy small conditions. This paper combines the wavelet scattering transform (WST), Relief-F algorithm AdaBoost.M1 algorithm, proposes use optimal coefficients as features VILAES model accurately leakage. Firstly, first...