A5050645799- Machine Fault Diagnosis Techniques
- Wind Energy Research and Development
- Fluid Dynamics and Vibration Analysis
- Gear and Bearing Dynamics Analysis
- Multilevel Inverters and Converters
- Wind Turbine Control Systems
- Fluid Dynamics and Turbulent Flows
- Thin-Film Transistor Technologies
- Advanced DC-DC Converters
- Photovoltaic System Optimization Techniques
- Vibration and Dynamic Analysis
- Energy Load and Power Forecasting
- Solar Radiation and Photovoltaics
- Silicon and Solar Cell Technologies
- Non-Destructive Testing Techniques
- Smart Grid and Power Systems
- Real-time simulation and control systems
- Power Systems and Renewable Energy
- Fault Detection and Control Systems
- Wind and Air Flow Studies
- Structural Health Monitoring Techniques
- Mechanical stress and fatigue analysis
- Microgrid Control and Optimization
- Power System Reliability and Maintenance
- Chalcogenide Semiconductor Thin Films
Nanjing University of Science and Technology
2016-2025
Durham University
2011-2013
Loughborough University
2009-2011
Renewable Energy Systems (United Kingdom)
2011
University of Bristol
2009
ABSTRACT Deployment of larger scale wind turbine systems, particularly offshore, requires more organized operation and maintenance strategies to ensure systems are safe, profitable cost‐effective. Among existing strategies, reliability centred is regarded as best for offshore turbines, delivering corrective proactive (i.e. preventive predictive) techniques enabling turbines achieve high availability low cost energy. Reliability analysis may demonstrate that an accurate reliable condition...
ABSTRACT Concerns amongst wind turbine (WT) operators about gearbox reliability arise from complex repair procedures, high replacement costs and long downtimes leading to revenue losses. Therefore, reliable monitoring for the detection, diagnosis prediction of such faults are great concerns industry. Monitoring WT gearboxes has gained importance as WTs become larger move more inaccessible locations. This paper summarizes typical failure modes reviews supervisory control data acquisition...
ABSTRACT Previous research for detecting incipient wind turbine failures, using condition monitoring algorithms, concentrated on Supervisory Control and Data Acquisition (SCADA) signals, such as power output, speed bearing temperatures, power‐curve temperature relationships. However, very little effort has been made SCADA alarms. When turbines are operating in significantly sized farms, these alarm triggers overwhelming operators or maintainers alike because of large number occurring a 10...
Cost‐effective wind turbine (WT) diagnosis using supervisory control and data acquisition (SCADA) is a promising technology for future intelligent farm operation management. This study presents thermophysics‐based method WT drivetrain fault diagnosis. A synthesised thermal model formed by incorporating mechanisms of the into system model. Applications are demonstrated in case studies gearbox generator comparing simulation results SCADA analysis. The show non‐linearity oil temperature rise...
Background/Objectives: China has introduced a series of policies to encourage family physicians (FPs) provide remote diagnosis and treatment (RDT) services, with the ultimate goal providing more continuous, convenient, efficient medical services for all residents, especially elderly patients chronic diseases. However, few studies have focused on this important issue. The aim study was comprehensive description FPs' use of, barriers to, attitudes toward RDT in China. Methods: A...
Effective wind turbine fault diagnostic algorithms are crucial for intelligent condition monitoring. An unscented Kalman filter approach is proposed to successfully detect and isolate two types of gearbox failures a in this paper. The state space models defined the model by detailed nonlinear systematic principle analysis. three failure modes being studied damage, lubrication oil leakage pitch failure. results show that has special response online input parameters under different conditions....
ABSTRACT Rapid wind power development in China has attracted worldwide attention. The huge market potential and fast of turbine manufacturing capacity are making a world leader development. In 2010, with the newly installed cumulative capacity, was ranked first world. 2009, also constructed commissioned its large offshore farm near Shanghai. Following earlier papers reviewing state China's onshore industry, this paper presents broader perspective up‐to‐date survey development, comparisons...
This paper focuses on the electro-thermal analysis of a doubly-fed induction generator (DFIG) in wind turbine (WT) with gear transmission configuration. The study thermal mechanism plays an important role development cost-effective fault diagnostic techniques, design for reliability and premature failure prevention. Starting from DFIG system control its power losses mechanism, model that synthesizes WT principle is developed to thermodynamics stator winding. transient-state steady-state...
Although Permanent Magnet Synchronous Generator (PMSG) wind turbines (WTs) mitigate gearbox impacts, they requires high reliability of generators and converters. Statistical analysis shows that the failure rate direct-drive PMSG turbines’ inverters are high. Intelligent fault diagnosis algorithms to detect faults is a premise for condition monitoring system aimed at improving availability. The influences random speed diversified control strategies lead challenges developing intelligent This...
Current wind turbine (WT) studies focus on improving their reliability and reducing the cost of energy, particularly when they are operated offshore.WT Supervisory Control Data Acquisition (SCADA) systems contain alarm signals providing significant important information.Pattern recognition embodies a set promising techniques for intelligently processing WT SCADA alarms.This paper presents feasibility study diagnosis method using an artificial neural network (ANN).The back-propagation (BPN)...
Abstract The effects of different spectra on the laboratory based performance evaluation amorphous silicon solar cells is investigated using an opto‐electrical model which was developed specifically for this purpose. aim to quantify uncertainties in calibration process. Two main arise from differences test spectrum and standard spectrum. First, mismatch between reference measured device, shown be voltage dependent case devices. Second, fill factor device affected by spectra. Different cell...
Quantifying wind turbine (WT) gearbox fatigue life is a critical problem for preventive maintenance when unsolved. This paper proposes practical approach that uses ten minutes’ average speed of Supervisory Control and Data Acquisition (SCADA) data to quantify WT gearbox’s gear life. Wind turbulence impacts on are studied thoroughly. Short-term assessment the then performed using linear theory by considering responses under external internal excitation. The results shows three stage gearbox,...