A5037336273- Fault Detection and Control Systems
- Risk and Safety Analysis
- Machine Fault Diagnosis Techniques
- Engineering Diagnostics and Reliability
- Oil and Gas Production Techniques
- Power Systems Fault Detection
- Water Systems and Optimization
- Smart Grid and Power Systems
- Power Systems and Renewable Energy
- Power Quality and Harmonics
- Islanding Detection in Power Systems
- Power Systems and Technologies
- Anomaly Detection Techniques and Applications
- Occupational Health and Safety Research
- Manufacturing Process and Optimization
- Industrial Engineering and Technologies
- Liver Disease Diagnosis and Treatment
- Elevator Systems and Control
- Advanced Data Processing Techniques
- Chronic Kidney Disease and Diabetes
- Reliability and Maintenance Optimization
- Integrated Energy Systems Optimization
- Collaboration in agile enterprises
- Gear and Bearing Dynamics Analysis
- Engineering Technology and Methodologies
China University of Petroleum, East China
2020-2024
Peking University
2024
Peking University First Hospital
2024
Energy Research Institute
2021
Electric Power Research Institute
2012-2018
Shandong Jianzhu University
2015
Delta Electronics (Taiwan)
2014
Sanden (Japan)
2012
In closed-loop feedback control systems, faults are propagated through the link, which eventually leads to abnormality of entire system. Generally, it is very difficult identify systems under influence link. The existence redundancy improves reliability Meanwhile, also poses new challenges fault diagnosis multiple redundant systems. this regard, a causality-based method proposed for system with modular redundancy. dynamic Bayesian networks established based on sensor data and parameters....
A nonlinear and non-stationary signal processing method is proposed for the identification of low frequency oscillation in power system which called Hilbert-Huang transform (HHT). In this paper, we first pretreat noise delay compensation signal, then identify modal parameters with HHT. Finally, improved Prony algorithm results are compared The simulation show that empirical mode decomposition can filter out interference lay foundation accurate analysis parameters. Moreover, HHT effectively...
The subsea production system is a vital equipment for offshore oil and gas production. control one of the most important parts it. Collecting processing signals sensors only way to judge whether normal. However, degrade rapidly due harsh working environments long service time. This leads frequent false alarm incidents. A combinatorial reasoning-based abnormal sensor recognition method proposed. algorithm proposed group sensors. short-term memory network (LSTM) used establish single inference...
Abstract Background and Aims Currently, the Grams model has been developed to estimate risks of adverse events among advanced chronic kidney disease (CKD) patients in western populations. Its utility is noteworthy as it predicts multiple within a single while taking competing into account. While no external validation conducted Asian, especially Chinese population, restricting further practical application clinical benefits evaluation. Hence, we aimed validate performance for estimating...
The industrial application of static VAR compensator (SVC) is becoming more and widely. It has many outstanding functions, such as respond rapidly for changes, compensate reactive power dynamically, reduce harmonic, suppress voltage fluctuations flicker, improve the negative sequence problem. This paper, from above quality problems, analyzes SVC capacity selection principle compensation effect. Meanwhile, performance evaluation method an installed operational also given. When device can't...
Wind power prediction is a key problem in optimizing dispatching. This paper builds wind model based on wavelet neural network which substitutes basis function for the transfer of hidden layer. A missing data interpolation strategy also given to improve applicability model. With farm from southeast coast, works and next 30 hours predicted. In sense mean square errors this compared results BP model, shows models have better accuracy.
To realize voltage sag source localization in distribution network, the paper proposes a function fitting method based on least squares. Establish distance response to fault changes by line voltage. According function, combine with bus after find out likely section and distance. Through sorting algorithm sort all possible results, weaken effect of pseudo point judgment result. Finally simulation verifies effectiveness method.
Abstract Aiming at the problems of high cost, low real-time performance manual identification low-voltage station topological structure, automatic methods such as instantaneous power failure method and voltage correlation analysis method, which affect residents’ electricity consumption, success rate is limited by application scenarios, this paper proposes a based on multiple linear regression Line impedance for topology stations. Based relationship between voltage, current, impedance, used...
Aiming at the two decomposition and coordination reactive power optimization algorithms both of which are based on proximal center algorithm, they compared in detail calculation process, communication mode amount required data each iteration. Taking IEEE 118-node system 300-node as an example, coefficient matrix, iteration analyzed. The convergence characteristics same, algorithm is better depends more convenient to apply you want select.