A5100684153- Power Systems and Technologies
- Advanced Sensor and Control Systems
- Advanced Computational Techniques and Applications
- Smart Grid and Power Systems
- Machine Fault Diagnosis Techniques
- Advanced Algorithms and Applications
- GaN-based semiconductor devices and materials
- Complex Systems and Time Series Analysis
- Ga2O3 and related materials
- Power Systems and Renewable Energy
- Advanced Semiconductor Detectors and Materials
- ZnO doping and properties
- Fault Detection and Control Systems
- Inertial Sensor and Navigation
- Simulation and Modeling Applications
- Energy Load and Power Forecasting
- CCD and CMOS Imaging Sensors
- Geoscience and Mining Technology
- Advanced Decision-Making Techniques
- Engineering Diagnostics and Reliability
- Advanced biosensing and bioanalysis techniques
- Chaos control and synchronization
- Advanced MEMS and NEMS Technologies
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
Weifang University of Science and Technology
2024-2025
Northwestern Polytechnical University
2024
Shanghai Ocean University
2024
China University of Petroleum, Beijing
2022-2024
Jiangxi University of Science and Technology
2023
Zhejiang Normal University
2016-2023
China State Shipbuilding (China)
2022
Beijing University of Civil Engineering and Architecture
2018-2019
Shandong University
2016
Xi'an Aeronautical University
2016
Abstract The working environment of reciprocating machinery is complex, characterized by nonlinear and non-stationary signals. Deep learning can solve the above problems, but it has its own problems such as complex model large amount parameters. Additionally, privacy considerations among enterprises prevent data sharing, leading to emergence ‘data islands’ inadequate training deep models. Based on analysis, this paper proposes a mechanical feature extraction method based an improved...
Abstract When pursuing femtosecond-scale ultrashort pulse optical communication, one cannot overlook higher-order nonlinear effects. Based on the fundamental theoretical model of variable coefficient coupled high-order Schrödinger equation, we analytically explore evolution solitons in presence Moreover, interactions between two nearby and their transmission a nonuniform fiber are investigated. The stability soliton found to be destroyed varying degrees due outcomes may offer some references...
As an alternative to the traditional cyclic prefixed OFDM (CP-OFDM) technology, time-domain synchronous (TDS-OFDM) provides higher spectrum efficiency due no pilot in transmitted signal. However, pilot-Aided channel estimation techniques CP-OFDM cannot be applied TDS-OFDM. In this paper, impulse responses are estimated time domain based on linear correlation between received samples and locally generated PN sequence. The iterative threshold detection (ITD), as well combination with decision...
Combining with the actual competition in Chinese property insurance market and assuming that companies take marginal utility maximization as basis of decision-making when they play price games, we first established game model three oligarchs who have different rationalities. Then, discussed existence stability equilibrium points. Third, studied theoretical value Lyapunov exponent at Nash point its change process main parameters' changes though having numerical simulation for system such...
As a major oil consuming and importing country, optimization of China's petroleum supply chain is important for lowering consumption costs assuring energy safety. In this paper, we develop an model based on linear programming to minimize the overall chain, solve with parameters assigned according actual operation in 2007. The results basically match facts, so can analyze model. empirical show that demands refining sector, domestic imported crude prices exchange rate are main factors impacting chain.
In this paper, a novel symbol synchronization method for OFDM systems is proposed. By using correlation of guard interval (GI) preceding the symbol, it not only improves accuracy in channels with long and strong echoes, which could be case single frequency network (SFN), but also applicable additive white Gaussian noise (AWGN), Ricean Rayleigh channels.
In order to process the uncertain information of substation alarms, traditional Decision Tree Method is improved. The redundant signals in alarm sequence are simplified with algorithm based on Positive Domain Attribute Reduction, result which used as characteristic attribute Tree. Meanwhile, by constructing cooperated temporal logic relation signal, can be accurately sorted, finally produces a reasoning for analysis. method proposed paper concise and reasonable, proved having good effect...
The fault signal of the reciprocating compressor has many excitation sources and nonlinear. Deep learning can solve such problems. However, with deepening network, amount model parameters is increased, phenomenon gradient disappearance or explosion may occur. In addition, one-dimensional signals are used for diagnosis, which easy to lose time dependence, resulting in unstable accuracy. view fact that two-dimensional images generated by Gramian Angular Field contain temporal correlation...
Accurately predicting response times of service queries is necessary for deployments optimisation in the multi-tenant applications system. This task particularly challenging owing to fact that mixes tenants with different business scale and operating characteristics interaction among concurrently running have a great impact on time systems, an accurate model needs capture them. In this paper, our goal build such performance interactions using experiment-driven modelling approach. We use...
Temperature exerts a profound influence on the fidelity of photosensors, making attainment reliable temperature compensation formidable task within engineering realms. This research delves into intricacies photosensors used in high-precision accelerometers, proposing an innovative, high-precision, adaptive, closed-loop mechanism. Our design stands stark contrast to traditional open-loop models, demonstrating superior performance by achieving remarkable reduction error-nearly 98%. advancement...
Ultra-low light imaging and passive/active dual mode require very low noise optical receivers to achieve detection of fast weak signal. HgCdTe electrons initiated avalanche photodiodes (e-APDs) in linear multiplication is the detector choice thanks its high quantum efficiency, gain at bias, bandwidth factor. In my work, a readout integrated circuit (ROIC) e-APD focal plane array (FPA) designed. Unit cell architecture ROIC includes capacitance feedback transimpedance amplifier (CTIA) as...