A5100721032- Machine Fault Diagnosis Techniques
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Advanced Algorithms and Applications
- Fault Detection and Control Systems
- Microgrid Control and Optimization
- Hydrology and Watershed Management Studies
- Engineering Diagnostics and Reliability
- Adaptive Control of Nonlinear Systems
- Flood Risk Assessment and Management
- Water Systems and Optimization
- Cavitation Phenomena in Pumps
- Frequency Control in Power Systems
- Advanced Control Systems Optimization
- Simulation and Modeling Applications
- Smart Grid Energy Management
- Hydrological Forecasting Using AI
- Smart Grid Security and Resilience
- Fuzzy Logic and Control Systems
- Iterative Learning Control Systems
- Power Systems Fault Detection
- Hydraulic and Pneumatic Systems
- Guidance and Control Systems
- Islanding Detection in Power Systems
- Gear and Bearing Dynamics Analysis
Shandong Special Equipment Inspection Institute
2024
Beijing Research Institute of Mechanical and Electrical Technology
2023-2024
Anhui Jianzhu University
2024
Huaiyin Institute of Technology
2020-2023
Tianjin Normal University
2019-2023
Handan Polytechnic College
2023
Qingdao University
2023
Shenyang University of Chemical Technology
2023
China University of Petroleum, East China
2022
Chinese Research Academy of Environmental Sciences
2020-2022
In this paper, a novel energy storage method based on pumped hydropower (PHES) for renewable integrated micro-grid (REMG) is proposed, and the load frequency control (LFC) system studied. typical REMG, micro units are built that rely tall building to convert by pumping water up store releasing stored generate energy. Because of fluctuation (RE) perturbation demand, deviation, tie-line power interchange inevitable. LFC controller optimization problem REMG investigated, optimal controllers...
As the largest freshwater storage in world, groundwater plays an important role maintaining ecosystems and helping humans adapt to climate change. However, dynamics, such as recharge, cannot be measured directly is influenced by spatially temporally complex processes, models are therefore required capture dynamics provide scientific advice for decision-making. This paper developed, estimated compared performance of linear regression, multi-layer perception (MLP) Long Short-Term Memory (LSTM)...
This paper proposes s-LSTM, a top-down deep learning model, for efficiently modelling and predicting the spatiotemporal dynamics of groundwater recharge. The model's effectiveness was evaluated compared with three bottom-up machine models using case study 246 bores in South Australia. results demonstrate that s-LSTM outperformed by 3.7%–28.9% prediction performance (based on root mean squared error) reduced training time 37.4%–99.5%. Furthermore, exhibited superior capabilities terms...
Hyper-plane-shaped clustering (HPSC) has been demonstrated to be more effective in Takagi-Sugeno (T-S) fuzzy model identification compared hyper-sphere-shaped clustering. Although some HPSC algorithms, based on type-2 theory, have already developed and outstanding performance T-S modeling, mismatching of the traditional membership function results will inevitably restrict modeling performance. In this paper, a modified inter c-regression (IT2-FCRM) new hyper-plane-shaped Gaussian were...
Systemic inflammation is a key mechanism in the development of cardiovascular diseases induced by exposure to fine particles (particles with aerodynamic diameter ≤2.5 μm [PM2.5]). However, little known about effects chemical constituents PM2.5 on systemic inflammation. In this cross-sectional study, filter samples personal were collected from community-dwelling older adults Tianjin, China, and analyzed. Blood immediately after sample collection. Seventeen cytokines measured as targets. A...
Riser recoil control is a complicated nonlinear problem. An intelligent methodology proposed to the riser response based on fuzzy theory. A dynamic model of drilling riser/tensioner coupling system established for analysis. The divided into several elements and effect between discharged mud considered in model. controller opening valve designed control. comprehensive analysis method simulation. Simulation results show that can effectively response. adaptability also proved by simulation...
Due to the inherent non-stationary and nonlinear characteristics of original streamflow complicated relationship between multi-scale predictors streamflow, accurate reliable monthly forecasting is quite difficult. In this paper, a multi-scale-variables-driven (MVDSF) framework was proposed improve runoff accuracy provide more information for decision-making. This realized by integrating random forest (RF) Gaussian process regression (GPR) with variables (hydrometeorological climate...
Pumped storage units (PSUs) are an important tool for power systems containing large-scale renewable energy, and the merit of rapid start-up enable PSUs to modulate stabilize system. In this paper, PSU strategies have been studied a new integrated method has proposed purpose achieving swift smooth start-up. A two-phase closed-loop startup strategy, composed switching Proportion Integration (PI) Differentiation (PID) controller is designed, optimization scheme synchronous parameters in...
Embankment is vulnerable to scouring and erosion during heavy rainfall events in most coastal areas China. In this study, microbially induced calcium carbonate precipitation (MICP) technique was applied for sand embankments scouring/erosion control. Three small-scale MICP treated one untreated embankment were first prepared using the injection method. Then, a series of laboratory experiments performed investigate slope failure process. The total mass, soil detachment rate content (CaCO3)...
Permanent magnet synchronous motors are the main power output components of electric vehicles. Once a failure occurs, it will affect vehicle’s power, stability, and safety. While as complex field-circuit coupling system composed machine-electric-magnetic-thermal, permanent motor vehicle has various operating conditions complicated condition environment. There forms failure, signs crossed or overlapped. Randomness, secondary, concurrency, communication characteristics make difficult to...
This paper proposes a multi-objective optimization method for the start-up strategy of pumped storage units (PSU) first time. In method, speed rise time and overshoot during process are taken as objectives. A precise simulation platform is built simulating transient start-up, calculating objectives based on process. The Multi-objective Particle Swarm Optimization algorithm (MOPSO) adopted to optimize widely applied strategies one-stage direct guide vane control (DGVC), two-stage DGVC. Based...
Accurate health evolution trend forecasting of aero-engine is essential for operation reliability and maintenance costs aeronautical equipment. In this study, an intelligent deep learning method, systematically blending the dispersion entropy-based multi-scale series aggregation scheme long short term memory (LSTM) neural network, proposed aero-engine. Firstly, a comprehensive measurement levels, namely, integrated state index (IHSI), developed with high-dimensional dataset. Secondly,...
This paper investigates the nonlinear modeling and stability of a doubly-fed variable speed pumped storage power station (DFVSPSPS). Firstly, mathematical model DFVSPSPS with surge tank considering pump turbine characteristics was derived established. Then, Hopf bifurcation analysis performed. The stable region identified verified by example analysis. Moreover, effect mechanism on explored. Finally, influence factors dynamic response studied. results indicate that emerged is supercritical...
In order to determine the theoretical performance of multilayer BGO scintillation block used in small positron emission tomography (PET) scanners, we have DETECT2000 Monte Carlo simulation light transport crystal software. The is made two arrays individual crystals and they are held together by an interconnecting layer. results given this software demonstrate that some could not be distinguished even under best circumstances. Also, found it would difficult correctly distinguish important...