Quantum mechanics

Algorithm

Control (management)

Rotor (electric)

Engineering

Control engineering

Systems engineering

Stability (learning theory)

Helicopter rotor

Power (physics)

Computer science

Risk analysis (engineering)

Mechanical engineering

Physics

Simulation

Mathematics

Econometrics

Reliability (semiconductor)

Artificial intelligence

Medicine

Control theory (sociology)

Uncertainty analysis

Machine learning

State (computer science)

Mechanical Systems and Signal Processing

Uncertainty handling and analysis of rotor systems have been active research areas during the last two decades. This paper provides a state-of-the-art review on the research progress of uncertainty treatment in rotor systems. Firstly, sources of uncertainties are identified and then classified according to their nature. Secondly, the most popular uncertainty analysis methods are summarized based on different types of uncertainties, including their basic principles, strengths and limitations. Thirdly, the dynamic characteristics of rotor systems under various uncertainties are described in detail, i.e., the natural characteristics and unbalanced responses, faulted rotor dynamics, stability problems and parameter identifications. Then, the reliability analysis, optimizations and vibration control for uncertain rotor systems are reviewed. Finally, comments on the latest research progress are made and outlooks on future research directions are highlighted. It is expected that this review will provide useful guidelines for designers and researchers towards the more efficient handling of uncertainty and robust dynamic analysis for rotor systems as well as insightful prospects, showing where extra efforts are needed.

A state-of-the-art review on uncertainty analysis of rotor systems