What is she best known for?
The fields of study she is best known for:
- Statistics
- Electrical engineering
- Mechanical engineering
Her main research concerns Control system, Control theory, Control engineering, Root cause and Process.
The concepts of her Control system study are interwoven with issues in Multivariable calculus, Process control, Control and Chemical process.
Her study in Process control is interdisciplinary in nature, drawing from both Probability density function, Conditional probability and Statistical physics.
Her Control theory research is multidisciplinary, incorporating elements of Minimum phase, Data-driven, Multivariate statistics and Oscillation.
Her Control engineering research incorporates elements of Mechanical engineering, Nonlinear system and Fault detection and isolation.
Her research in Process intersects with topics in Automation, Operator, Reliability engineering and Actuator, Artificial intelligence.
Her most cited work include:
- Modelling valve stiction (225 citations)
- Diagnosis of poor control-loop performance using higher-order statistics (214 citations)
- Detection of multiple oscillations in control loops (188 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Control theory, Control engineering, Control system, Process and Process.
Her work on Nonlinear system is typically connected to Stiction as part of general Control theory study, connecting several disciplines of science.
Her work is dedicated to discovering how Control engineering, Fault detection and isolation are connected with Algorithm and other disciplines.
Her studies deal with areas such as Control, Fractionating column, Control theory and Chemical process as well as Control system.
The various areas that Nina F. Thornhill examines in her Process study include Gas compressor, Work in process, Data mining and Root cause.
The study incorporates disciplines such as Biochemical engineering, Monte Carlo method and Operations research in addition to Process.
She most often published in these fields:
- Control theory (24.07%)
- Control engineering (17.01%)
- Control system (15.35%)
What were the highlights of her more recent work (between 2013-2020)?
- Gas compressor (8.71%)
- Process (14.94%)
- Data mining (13.28%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Gas compressor, Process, Data mining, Control theory and Process.
Nina F. Thornhill works mostly in the field of Gas compressor, limiting it down to concerns involving Reliability engineering and, occasionally, Control engineering, Degradation, Control, Electric power system and Reliability.
Her work in Control engineering addresses issues such as Process control, which are connected to fields such as Fault.
Within one scientific family, Nina F. Thornhill focuses on topics pertaining to Fault detection and isolation under Process, and may sometimes address concerns connected to Transient.
In her study, which falls under the umbrella issue of Control theory, Automatic frequency control is strongly linked to Model predictive control.
Nina F. Thornhill has included themes like Development, XML, Chemical process, Visualization and Process engineering in her Process study.
Between 2013 and 2020, her most popular works were:
- A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis (79 citations)
- The current state of control loop performance monitoring – A survey of application in industry (70 citations)
- Adaptive Multi-Channel Transmission Power Control for Industrial Wireless Instrumentation (37 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Mechanical engineering
Nina F. Thornhill mainly investigates Electric power system, Data mining, Control theory, Control engineering and Time series.
Her Electric power system research includes themes of Independent component analysis, Fourth order, Environmental economics, Demand response and Flexibility.
Her work investigates the relationship between Data mining and topics such as Process that intersect with problems in Stochastic simulation, Classification methods and Biomanufacturing.
Nina F. Thornhill is involved in the study of Control theory that focuses on Automatic frequency control in particular.
Her Control engineering research is multidisciplinary, incorporating perspectives in Power, Power station, Scale, Work in process and Process engineering.
She interconnects Stability, Fault detection and isolation, k-nearest neighbors algorithm, Algorithm and Data analysis in the investigation of issues within Time series.
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