A5100623097- Machine Fault Diagnosis Techniques
- Hydraulic and Pneumatic Systems
- Railway Systems and Energy Efficiency
- Geoscience and Mining Technology
- Engineering Applied Research
- Electrical Contact Performance and Analysis
- Fault Detection and Control Systems
- Industrial Technology and Control Systems
- Advanced Data Processing Techniques
- Engineering Diagnostics and Reliability
- Civil and Geotechnical Engineering Research
- Advanced Sensor and Control Systems
- Gear and Bearing Dynamics Analysis
- Reliability and Maintenance Optimization
- Safety and Risk Management
- Statistical Distribution Estimation and Applications
- Electric Power Systems and Control
- Radio Wave Propagation Studies
- Radio Astronomy Observations and Technology
- Concrete Properties and Behavior
- Tribology and Wear Analysis
- Satellite Communication Systems
- Electromagnetic Compatibility and Measurements
- Autonomous Vehicle Technology and Safety
- Electromagnetic Compatibility and Noise Suppression
Beijing Jiaotong University
2013-2024
Harbin Institute of Technology
2020-2024
Central South University
2022
State Key Laboratory of Vehicle NVH and Safety Technology
2022
Beijing Transportation Research Center
2020
Ruhr University Bochum
2020
Shandong University
2020
Hefei University of Technology
2020
Tianjin University
2020
Beijing Normal University
2010
Abstract Zero output technology is extensively used to expand heating capacity and electric peak shaving for low-pressure cylinders in thermal power plants. Problems of communicating pipe vibration under a small volume flow rate are common. In this paper, the optimal structure butterfly valve plate with diversion proposed, numerical simulation condition maximum carried out by CFD. The results show that after optimization, steam flowing from along direction no longer attached disc, most it...
Early fault diagnosis in rolling bearings is crucial to maintenance and safety industry. To highlight the weak features from complex signals combined with multiple interferences heavy background noise, a novel approach for bearing based on higher-order analytic energy operator (HO-AEO) adaptive local iterative filtering (ALIF) put forward. HO-AEO has better effect dealing noise. However, it subjected limitation of mono-components. solve this limitation, ALIF adopted firstly decompose...
The On-board Train Control System (OTCS) plays an important role in the real-time operation of electric multiple units (EMU) high-speed railway. EMU is a complex system made up various electrical and electronic equipment, so interactions electromagnetic (EM) environment OTCS are difficult to study, which leads more challenges analyze EM interference (EMI) events at level. To overcome this difficulty, paper proposes thought graph model solve problem. First, framework proposed clearly reflect...
The aim of this paper is to investigate the effect superabsorbent polymers (SAPs) on drying shrinkage recycled concrete (RC). natural aggregate (NA) was replaced by at three replacement ratios (0%, 50%, and 100%). Then, (RC) with different SAP contents prepared. performance content analyzed slump test, compressive strength test. GM (1, N) grey prediction model utilized predict containing SAP. results show that durability are decreased addition aggregate. With increase dosage SAP, also raise....
The traction drive system is a crucial component of high-speed trains, responsible for transferring and converting energy. It plays vital role in ensuring the train operates safely stably. As electrified railways continue to advance, becoming increasingly crowded with various equipment. This results growing issue electromagnetic interference, particularly form conducted interference. interference significantly hampers safe efficient functioning rail transit system. paper provides concise...
The frequency variating source, linear generator, and switching devices lead to dynamic characteristics of the low-frequency conducted emissions within maglev on-board distribution systems. To track time-varying feature these disturbances, a joint time–frequency representation combined adaptive optimal kernel with compressed sensing technique is proposed in this paper. based on Wigner–Ville distribution, employs remove undesirable cross terms. introduced deal tradeoff between cross-component...
To search for the characteristics of pantograph and catenaries' offline noise (PCON)in high-speed railway, a mathematics model closed to PCON is proposed in this paper supportedby measured data. Then radiated electromagnetic field analyzed based on known signal source. As result, same condition, energy produced by much smaller far than that near field. At distance, regardless near-field or far-field, trend varied with frequency almost which obvious range from 0 400Hz.
Ionosphere is a dispersive medium and the ionosphere dielectric random fluctuation. When electromagnetic wave propagates through ionosphere, phase, arrival angle polarization of this would change. This change phase path can make signal it be equal to Doppler shifts multipath delays. document analyzes delay-Doppler scattering function gets channel impulse response function. By using function, we get noise radio (SNR) analyze error bits. The also used model time-and-frequency-selective channel.
Abstract An approach based on the singular spectrum decomposition (SSD)-singular value (SVD) and frequency weight energy operator (FWEO) was proposed for early fault diagnosis of rolling bearings. Since interference heavy noise in stage bearing fault, SSD could eliminate abundant noise, meanwhile adaptively decompose nonlinear, non-stationary signals into multiple mono-components which had distinct physical meanings. Subsequently, SVD adopted de-noising every because distributed throughout...
This study establishes a prediction model based on the back propagation (BP) neural network for controlling underground directional drilling path in coal mine. The four-layer BP chooses 11 trajectory parameters (dip angles and azimuths from 12 m after measurement while (MWD)) two control as inputs. Two parameters, dip angle azimuth at bit, are outputs. Trained with data 502 groups, was used to forecast test groups. results were then compared of artificial experience 24 technicians. shows...