Reliability calculation and error analysis of VSV adjustment mechanism motion accuracy

The adjustable stator vane (VSV) adjustment mechanism of an aircraft engine was taken as the research object, and a kinematic model with kinematic pair clearance was established. Considering the randomness of factors such as drive error, dimensional error and assembly clearance, a VSV adjustment mechanism motion accuracy reliability model considering the failure correlation of each stator blade motion accuracy was established. The BP neural network proxy model was introduced, and the Monte Carlo method was used to calculate the reliability of the mechanism, and the variation law of the reliability with the number of stator blades and the failure threshold was given. By comparing with the system model with independent unit failure assumptions and the fully correlated system model, the rationality of the mechanism system motion accuracy reliability model considering failure correlation was verified. Finally, a method for estimating the reliability error of the complex system caused by the proxy model error was proposed, and it was proved that the reliability calculation result of the VSV adjustment mechanism is accurate and reliable.

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Publication Details

Journal
Journal of applied artificial intelligence.
Published
2024-10-18
DOI
https://doi.org/10.59782/aai.v1i1.270
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Reliability calculation and error analysis of VSV adjustment mechanism motion accuracy

Harshika Singh, Yi Wang, Yang Yifeng, Liu Aoyu
Journal of applied artificial intelligence.
Structural Health Monitoring Techniques
article

Reliability calculation and error analysis of VSV adjustment mechanism motion accuracy

Harshika Singh, Yi Wang, Yang Yifeng, Liu Aoyu
article en

Abstract

The adjustable stator vane (VSV) adjustment mechanism of an aircraft engine was taken as the research object, and a kinematic model with kinematic pair clearance was established. Considering the randomness of factors such as drive error, dimensional error and assembly clearance, a VSV adjustment mechanism motion accuracy reliability model considering the failure correlation of each stator blade motion accuracy was established. The BP neural network proxy model was introduced, and the Monte Carlo method was used to calculate the reliability of the mechanism, and the variation law of the reliability with the number of stator blades and the failure threshold was given. By comparing with the system model with independent unit failure assumptions and the fully correlated system model, the rationality of the mechanism system motion accuracy reliability model considering failure correlation was verified. Finally, a method for estimating the reliability error of the complex system caused by the proxy model error was proposed, and it was proved that the reliability calculation result of the VSV adjustment mechanism is accurate and reliable.

Journal of applied artificial intelligence.Vol. 1(1)
Affordable and clean energy
Openalex Percentile: Top 79%
Structural Health Monitoring Techniques
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Reliability calculation and error analysis of VSV adjustment mechanism motion accuracy — Harshika Singh, Yi Wang, et al. · Journal of applied artificial intelligence. (2024) | TGRS Research Map | TGRS