What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Control theory
- Artificial intelligence
Wei Qiao spends much of his time researching Wind power, Control theory, Turbine, Stator and Control engineering.
His biological study spans a wide range of topics, including Electric power system, Maximum power point tracking, AC power, Fault and Renewable energy.
His Control theory research includes themes of Steam turbine, Permanent magnet synchronous generator, Induction generator and Rotor.
His work carried out in the field of Turbine brings together such families of science as Vibration, Wind speed and Reliability engineering.
His Stator research includes elements of Downtime, Generator, Bearing and Fault detection and isolation.
His Control engineering research is multidisciplinary, incorporating perspectives in Load management, Automotive engineering and Energy management.
His most cited work include:
- Smart Transmission Grid: Vision and Framework (701 citations)
- Real-Time Implementation of a STATCOM on a Wind Farm Equipped with Doubly Fed Induction Generators (290 citations)
- Wind Speed Estimation Based Sensorless Output Maximization Control for a Wind Turbine Driving a DFIG (283 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Wind power, Turbine, Electronic engineering and Fault.
His studies in Control theory integrate themes in fields like Electric power system, Control engineering, Induction generator, Voltage and Rotor.
The concepts of his Wind power study are interwoven with issues in Wind speed, Fault detection and isolation, Automotive engineering, Stator and Condition monitoring.
Wei Qiao interconnects Steam turbine and Reliability engineering in the investigation of issues within Turbine.
Wei Qiao has researched Electronic engineering in several fields, including Battery, State of charge, Maximum power point tracking, Insulated-gate bipolar transistor and Boost converter.
His work deals with themes such as Drivetrain, Vibration, Bearing, Signal and Downtime, which intersect with Fault.
He most often published in these fields:
- Control theory (46.93%)
- Wind power (38.63%)
- Turbine (21.66%)
What were the highlights of his more recent work (between 2018-2021)?
- Wind power (38.63%)
- Control theory (46.93%)
- Automotive engineering (8.66%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Wind power, Control theory, Automotive engineering, Turbine and Fault.
His Wind power research is multidisciplinary, incorporating elements of Volatility, Econometrics, SCADA, Benchmark and Condition monitoring.
His study ties his expertise on Stator together with the subject of Control theory.
His Automotive engineering research is multidisciplinary, relying on both Battery and Downtime.
His Turbine study incorporates themes from Wind speed, Mahalanobis distance and Drivetrain.
His Fault study combines topics in areas such as Dynamical system, Stability, Signal, Transient and Bearing.
Between 2018 and 2021, his most popular works were:
- Enhanced Particle Filtering for Bearing Remaining Useful Life Prediction of Wind Turbine Drivetrain Gearboxes (38 citations)
- A Stochastic Decision-Making Model for an Electricity Retailer With Intermittent Renewable Energy and Short-Term Demand Response (38 citations)
- Fault Diagnosis of Wind Turbine Gearboxes Based on DFIG Stator Current Envelope Analysis (30 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Control theory
The scientist’s investigation covers issues in Fault, Wind power, Control theory, Bearing and Turbine.
His study looks at the relationship between Fault and topics such as Signal, which overlap with Stator, Algorithm and Sparse approximation.
His Wind power research focuses on Condition monitoring and how it connects with Mahalanobis distance, SCADA, Marine engineering and Wind speed.
His Control theory study often links to related topics such as Rotor.
The various areas that he examines in his Bearing study include Vibration, Prognostics, Transmission and Maintenance engineering.
His research investigates the connection with Turbine and areas like Drivetrain which intersect with concerns in Automotive engineering, Fault indicator and Induction generator.
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