Modeling of geometrical stiffening in a rotating blade—A review

Hoskoti, Lokanna; Gupta, Shakti S.; Sucheendran, Mahesh M.

doi:10.1016/j.jsv.2022.117526

Cited by 10 publications

(2 citation statements)

References 169 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the rotating speed is constant, it is considered that the frequency of the exciting force on the blade remains unchanged. Considering the excitation force of a single frequency, the excitation force on the blade is 22 :…”

Section: Simulation Of Blade Vibration and Blade Timing Vibration Mea...mentioning

confidence: 99%

“…Chen et al 20 proposed to use compressed sensing algorithm to reconstruct the BTT signal, and Mousavi and Baraniuk 21 improved the accuracy of compressed sensing algorithm through deep learning. Hoskoti 22 used multiple signal classification algorithm to solve the problem of BTT undersampling multi-frequency blade vibration blind reconstruction. Wang and Lei 23 established an asynchronous vibration parameter identification algorithm for blades by using all-phase FFT and least square method, and gave the test parameters and empirical values of the rationality of sensor arrangement.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rotating blade vibration parameter identification based on genetic algorithm

Xiangxiang,

Guo,

Fuhai

2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

In this paper, aiming at the identification of blade vibration parameters such as constant speed synchronization, constant speed asynchronous, and variable speed synchronization, the simulation platform Simulink is used to model the blade vibration system, and the blade tip timing vibration measurement system model is constructed. A method of blade vibration parameter identification based on genetic algorithm is proposed, and numerical simulation and experimental verification are carried out. The results show that the parameter identification of blade vibration by genetic algorithm has high accuracy and strong anti-noise interference ability. The influence of key parameters on the identification of blade vibration parameters is studied. For the constant speed synchronous and constant speed asynchronous vibration of the blade, the angle between the sensors should not be an integral multiple of 2π as far as possible, and the larger DR (Distribution Range) value should be guaranteed. The higher the frequency doubling of blade vibration, the more sensors are needed. For the variable speed synchronous vibration of the blade, the frequency doubling is greater than the influence of the sensor layout on the parameter identification results, but the number of sensors is too small, which will seriously affect the identification accuracy of the frequency doubling. Aiming at the blade vibration test, a blade vibration tester is designed. The blade variable speed synchronous vibration test is carried out by using the strain gauge method and the tip timing method. The measurement results of the strain gauge method are basically consistent with the measurement results based on the genetic algorithm and the tip timing.

show abstract

Section: Simulation Of Blade Vibration and Blade Timing Vibration Mea...mentioning

confidence: 99%