Abstract
To establish a more flexible and accurate reliability model, the reliability modeling and solving algorithm based on the meta-action chain thought are used in this thesis. Instead of estimating the reliability of the whole system only in the standard operating mode, this dissertation adopts the structure chain and the operating action chain for the system reliability modeling. The failure information and structure information for each component are integrated into the model to overcome the given factors applied in the traditional modeling. In the industrial application, there may be different operating modes for a multicomponent system. The meta-action chain methodology can estimate the system reliability under different operating modes by modeling the components with varieties of failure sensitivities. This approach has been identified by computing some electromechanical system cases. The results indicate that the process could improve the system reliability estimation. It is an effective tool to solve the reliability estimation problem in the system under various operating modes.
Highlights
During recent decades, the electromechanical systems have been widely used in the industrial field
The impact of the paper can be summarized as follows: (1) The meta-action chain method is presented, which can be used to integrate the structure information and operating information to estimate the reliability for the electromechanical system
The rest of the thesis is organized as follows: Section 2 introduces some basic theories used in the modeling; the meta-action chain methodology (MCM) is presented in Section 3; Section 4 introduces the reliability estimation for an electromechanical system; In Section 5, an example is presented to illustrate the proposed approach and some comparisons with the existing approaches are discussed; Conclusion is made in the final section
Summary
The electromechanical systems have been widely used in the industrial field. Sun et al [21] adopted the fuzzy fault tree analysis to make fault diagnosis for the servo system These static reliability models have shown advantages in reliability analysis for the electromechanical systems in the industrial fields. Chiacchio et al [23] proposed a stochastic automaton model and developed a Simulink environment to integrate the features of a dynamic system This model considers the multistate operational and failure nature of a system. (1) The meta-action chain method is presented, which can be used to integrate the structure information and operating information to estimate the reliability for the electromechanical system. The rest of the thesis is organized as follows: Section 2 introduces some basic theories used in the modeling; the meta-action chain methodology (MCM) is presented in Section 3; Section 4 introduces the reliability estimation for an electromechanical system; In Section 5, an example is presented to illustrate the proposed approach and some comparisons with the existing approaches are discussed; Conclusion is made in the final section
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