A5100332336- Innovative Energy Harvesting Technologies
- Hydraulic Fracturing and Reservoir Analysis
- Railway Engineering and Dynamics
- Hydrocarbon exploration and reservoir analysis
- Energy Harvesting in Wireless Networks
- Wireless Power Transfer Systems
- Mineral Processing and Grinding
- Infrastructure Maintenance and Monitoring
- Reservoir Engineering and Simulation Methods
- Advanced Fiber Optic Sensors
- Speech and Audio Processing
- Sensor Technology and Measurement Systems
- Tactile and Sensory Interactions
- Music and Audio Processing
- Electrical Contact Performance and Analysis
- Structural Health Monitoring Techniques
- Drilling and Well Engineering
- Industrial Vision Systems and Defect Detection
- Chemical and Environmental Engineering Research
- Advanced Energy Technologies and Civil Engineering Innovations
- Advanced Algorithms and Applications
- Membrane Separation and Gas Transport
- Lubricants and Their Additives
- Advanced Electrical Measurement Techniques
- Teleoperation and Haptic Systems
State Grid Corporation of China (China)
2025
Dalian Jiaotong University
2024
Southwest Jiaotong University
2017-2023
Sandia National Laboratories
2018-2023
Wuhan University
2018
Kyushu Sangyo University
2016
Sandia National Laboratories California
2016
Beijing Institute of Technology
2008
Abstract Pumped-storage, as a leading large-scale energy storage technology, has been widely adopted in power systems. The underground powerhouse area of such stations may experience flooding incidents due to equipment failures and geographic factors, significant casualties property losses. survival capsule serves reliable escape facility, showing excellent performance coal mine rescue operations. This paper presents design for an underwater system aimed at addressing hydropower stations....
Abstract Distributed photovoltaic (PV) power generation is one of the new quality productive forces to promote application green energy and realize high-quality development. In order improve regulation effect in process PV generation, multiple sources data such as economic factors, electricity consumption habits, indoor temperature are included calculation, a real-time evaluation framework users constructed, particle swarm algorithm used solve efficient energy. The case study shows that...
The goal of this study is to develop a vibration-based electromagnetic energy harvesting prototype that provides power rail-side monitoring equipment and sensors by collecting wheel-rail vibration when the train travels. This technology helps rail–side in off-grid remote areas. article introduces principle, modeling, experimental test system, including (1) an with DC-DC boost converter lithium battery charge management function, (2) wireless sensor nodes integrated accelerometer...
Under the influence of high density operation and natural environment, rail surface will appear abrasion damage, which affect safety comfort train. Rail defect detection is an important part to ensure safe efficient railway system. In order distinguish whether there are defects on surface, a method image segmentation based FPSO 2D-Otsu algorithm proposed. The denoised enhanced by adaptive fractional calculus, then segmented algorithm. verify accuracy algorithm, proposed compared with PSO...
This article presents a prototype of wireless rechargeable sensor nodes for the health monitoring urban rail corrugation. The proposed system includes local energy generator constructed based on electromagnetic-induction principle, DC–DC booster converter, nodes, and an analysis interface using Littlewood–Paley wavelet transform methods. A vehicle–track interaction model is established that considers corrugation as irregularity excitation source to predict dynamic response railway tracks...
Abstract Vibration energy harvesting has been a popular topic in recent years. This technology is promising developing self-powered sensor nodes for health condition monitoring of machines or structures, especially remote areas. study proposes pendulum-flywheel vibration harvester based on the electromagnetic conversion mechanism. The two motion modes, namely pendulum mode and eccentric flywheel mode, can switch between modes automatically response to external excitations. We first establish...
Rail corrugation is a type of track geometry irregularity that induces sharp noise and reduces the service life components. The traditional manual inspection method detection requires high labor costs. In general, rail status subway lines can be divided into three types according to wavelength: short wave, medium wave healthy. Corrugation with different degrees deterioration has values depth. To achieve more efficient intelligent inspection, this study proposes multitask learning detect...
The objective of this study is to develop a prototype for smart monitoring underground rail transit by local energy generation. This technology contributes powering rail-side devices in off-grid and remote areas. paper presents the principles, modeling, experimental testing proposed system that includes two subsystems: (1) an electromagnetic generator with DC-DC boost converter (2) rail-borne wireless sensor node embedded accelerometers temperature/humidity sensors (3) data processing...
Abstract A multifunctional electromagnetic device for harvesting rail vibration energy and sensing corrugation is proposed. Firstly, the optimal coil position investigated theoretically verified through experiments. Then, experimental frequency-sweeping tests are carried out to understand response characteristics of harvester. Two sections a metro line with/without corrugations selected measure roughness vibration. Using field-measured as excitations, harvester indoor Experimental results...
This study developed a multi-classification model for vehicle interior noise from the subway system, collected on smartphones. The proposed has potential to be used analyze causes of abnormal using statistical methods and evaluate effect rail maintenance work. To this end, first, we multi-source data (audio, acceleration, angle rate) collection framework via smartphone built-in sensors. Then, considering Shannon entropy, 1-second window was selected segment time-series signals. extracted 45...
In this study, a data-driven interior noise prediction model is developed for vehicles on an urban rail transit system based random forest (RF) and vehicle/track coupling dynamic (VTCDM). The proposed can evaluate optimize the sustainability of railway alignment from perspective noise. First, data collection framework via embedded sensors onboard smartphones was developed. Then, establishing mapping relationship between responses car body noise, collected dataset fed to RF. Parameter, error...
In this paper, we present a high-precision bandgap reference(BGR) with high-order temperature compensation. The output voltage of the traditional first-order compensated BGR fluctuates relatively large change temperature, leading to inaccurate supply voltage. order improve accuracy voltage, circuit is designed based on CSMC 0.5m BCD process. uses Brokaw schematic which has small resistance. This simple and low static power consumption. end simulated verified by HSPICE. When 2.5V, 3.3V, 5V...
Abstract With the increasing growth of zero-day attacks, traditional machine learning-based network intrusion detection systems (NIDS) are difficult to cope with a large amount unknown attacks without labeled data. To this end, paper proposes new attack method, which combines zero-shot learning algorithm reinforcement algorithm. First, feature vector in traffic data and semantic threat intelligence encoded hidden space by variational autoencoder, so that two modalities matched space, then...
Railway projects frequently pass through ecologically fragile regions and result in various ecological damages. The railway alignment determining the layout of structures plays an important role protection. This paper presents a optimization model based on multiobjective bi-level programming (MBRAO). upper level MBRAO is horizontal for minimization investment impacts from tunnel drainage train noise. A evolutionary algorithm decomposition (MOEA/D) solves naturally maintains population...