Vibration-Based Diagnostics of Helicopter Transmission Gear Couplings

Колесников, В. И.; Koropets, P. A.; Sinyutin, E. S.

doi:10.3103/s106879982001002x

Cited by 5 publications

(3 citation statements)

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“…Earlier we have put this concept forward as a basis for constructing systems of dynamic diagnostics of the friction site state based on the use of autoregressive spectral analysis of the observed vibrational sequences [10], [34]- [36].…”

Section: Generalized Mathematical Model Of the Evolutionary Dynamic System Of Friction Methods Of Its Analysismentioning

confidence: 99%

“…The system approaches, the disclosure of functional relationships between coordinates provide an analytical and semantic basis for dynamic monitoring of the state of friction units [10], [21], [32][33][34]. The developed mathematical toolkit and researches of evolution of attractive sets of deformation displacements allow defining reliable information models of diagnostics of knots of a friction knowingly on the basis of mathematical modeling.…”

Section: Fig 4 Examples Of Trajectories In Phase Space Sections Depending On the Work Done By Friction Forcesmentioning

confidence: 99%

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Self-organization and evolution in dynamic friction systems

Gvindjiliya¹,

Zakovorotny²

2021

J. vibroeng.

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The dynamic features of the friction process of the contacting pairs affect their durability and functional suitability. There-fore, the problems of their dynamics and vibrational activity always attract the attention of researchers in the field of tribology. It is known that self-organization processes take place during friction, such as the formation of selective transfer phenom-ena during friction, formation of equilibrium roughness. But known studies do not take into account changes in the dynamic properties of the system in the process of its functioning. The primary sources of self-organization are energetic in nature, but the relationship of these phenomena with the dynamic properties of the system has not been explained, and their modeling has not yet been performed. The paper presents the results of experimental and mathematical modeling of evolutionary changes of friction system due to the power of irreversible transformations of energy input to friction zone, which characterizes the goal of research. In order to achieve the goal, the paper deals with the mathematical modeling of the processes of self-organization in a dynamic friction system in combination with the analysis of the equilibrium of the system, its stability, and the manifolds formed in the vicinity of the equilibrium. It is shown that the proposed mathematical models are integro-differential functionally coupled equations that describe self-organization. Examples are given of dynamic restructuring of the friction system, including bifurcations of the attracting sets of its deformation displacements along the trajectory of the friction forces work. The paper briefly presents the results of the experimental study of the vibration characteristics of the contacting pairs during the development of their wear by the example of two systems: steel-brass and steel-glycerin-brass. It is shown that in the system of friction, new properties always establish naturally due to the work of forces. These properties are determined by the evolutionary change of the parameters of the dynamic coupling and the attractive sets of deformation displacements. The study and experiments show that measurement of parameters available for estimation of some coordinates in the dynamic friction system allows one to solve the problem of non-decoupled dynamic monitoring of the state of friction units and also opens new ways of improvement of friction units.

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Section: Generalized Mathematical Model Of the Evolutionary Dynamic System Of Friction Methods Of Its Analysismentioning

confidence: 99%

Section: Fig 4 Examples Of Trajectories In Phase Space Sections Depending On the Work Done By Friction Forcesmentioning

confidence: 99%

Self-organization and evolution in dynamic friction systems

Gvindjiliya¹,

Zakovorotny²

2021

J. vibroeng.

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“…A data-based helicopter main transmission gear box diagnoses prediction model was presented (Parker et al , 1993). The gear coupling remain lifetime and critical serve condition forecast model was established based on the helicopter gear box vibration accelerate signals (Kolesnikov et al , 2020). Artificial neural network model was applied to optimum the design of flight power, structure stiffness and rotor blades (Sarawagi and Ganguli, 2021; Christopher and Nikolas, 2021).…”

Section: Introductionmentioning

confidence: 99%

Flight data-driven intelligent prediction for fuselage vibration of helicopter

Deng¹,

Cheng²,

Lü³

2023

AEAT

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Purpose Helicopter fuselage vibration prediction is important to keep a safety and comfortable flight process. The helicopter vibration mechanism model is difficult to meet of demand for accurate vibration prediction. Thus, the purpose of this paper is to develop an intelligent algorithm for accurate helicopter fuselage vibration analysis. Design/methodology/approach In this research, a novel weighted variational mode decomposition (VMD)- extreme gradient boosting (xgboost) helicopter fuselage vibration prediction model is proposed. The vibration data is decomposed and reconstructed by the signal clustering results. The vibration response is predicted by xgboost algorithm based on the reconstructed data. The information transfer order between the controllable flight data and flight attitude are analyzed. Findings The mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE) of the proposed weighted VMD-xgboost model are decreased by 6.8%, 31.5% and 32.8% compared with xgboost model. The established weighted VMD-xgboost model has the highest prediction accuracy with the lowest mean MAPE, RMSE and MAE of 4.54%, 0.0162, and 0.0131, respectively. The attitude of horizontal tail and cycle pitch are the key factors to vibration. Originality/value A novel weighted VMD-xgboost intelligent prediction methods is proposed. The prediction effect of xgboost model is highly improved by using the signal-weighted reconstruction technique. In addition, the data set used is collected from actual helicopter flight process.

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