Abstract
It is necessary to make the tape winding system have good reliability. Because the power system usually is a pneumatic or hydraulic system, the static reliability analysis lacks the ability to describe the dynamic state transfer, component fault correlation, and propagation effect of the system; it is difficult to accurately reflect the actual behavior of the complex system. Most of the existing research results lack the situation that the importance of bottom events changes with time; only a single number cannot express the impact of bottom events on top events at different times. Therefore, this study uses the dynamic reliability analysis method to quantitatively analyze the reliability of the tape winding power hydraulic system. Firstly, the dynamic reliability model of hydraulic system is established by using the continuous-time T-S dynamic fault tree to solve the fault rate of the system. Secondly, the results are compared with the traditional Markov chain analysis method of dynamic fault tree. The feasibility and advantages of the continuous-time T-S dynamic fault tree analysis method are verified. Finally, the probability importance and key importance of the system unit are calculated, and the law of importance changing with time is expressed. According to the importance of different time, it can help the regular maintenance and fault diagnosis of equipment.
Highlights
Winding products have important applications in the fields of aerospace, national defense, and petrochemical industry and are the key to reducing weight and improving performance [1]
Based on the T-S dynamic fault tree, the continuoustime T-S dynamic fault tree analysis method has a stronger ability to describe the failure behavior compared with the Dugan dynamic fault tree. e continuous-time T-S dynamic fault tree is an analysis and calculation method based on the fault probability density function and fault probability distribution function of the parent event, which describes the rule execution degree and the occurrence probability of the parent event, as well as the impulse function integral, by using the integral characteristics of the impulse point of the impulse function [4]
According to the above results, the continuous-time T-S dynamic fault tree analysis method can directly quantitatively analyze the dynamic fault tree established by the dynamic system and can better describe the static, dynamic, and even multiple states of the system than the general dynamic fault tree analysis method
Summary
Winding products have important applications in the fields of aerospace, national defense, and petrochemical industry and are the key to reducing weight and improving performance [1]. E continuous-time T-S dynamic fault tree is an analysis and calculation method based on the fault probability density function and fault probability distribution function of the parent event, which describes the rule execution degree and the occurrence probability of the parent event, as well as the impulse function integral, by using the integral characteristics of the impulse point of the impulse function [4]. Continuous-time T-S dynamic fault tree is an analysis and calculation method of upper-level event, fault probability density function, and fault probability distribution function based on the integral characteristics of the impulse points of impulse function and describing the degree of rule execution, the possibility of upper-level events, and the integral of impulse function.
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