Self-testing Solid-State Power Controller for High-Voltage-DC Aircraft Applications

Grumm, Florian; Meyer, Marc Florian; Waldhaim, E.; Terorde, Michael; Schulz, Detlef

doi:10.1007/978-3-658-15029-7_5

Cited by 2 publications

(2 citation statements)

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“…The structure is shown in Figure 5. The estimators and the LCL of reliability for the SSPC with hot standby equipment could also be obtained by Monte Carlo simulation from Equation (14). The results are shown in Table 7.…”

Section: Resultsmentioning

confidence: 99%

“…The authors of [12] summarized the advantages of an SSPC, such as high reliability, small size and accessible remote control. The authors in [13] presented an optimizing scheme for behavioral modeling of an SSPC, while those in [14] proposed some models for some special SSPCs. The authors in [15] analyzed the reliability of a kind of SSPC from an engineering standpoint, and those in [16] proposed two fault detection methods with the analysis of only the half cycle data.…”

Section: Introductionmentioning

confidence: 99%

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Fiducial Lower Confidence Limit of Reliability for a Power Distribution System

Cai

Liang

et al. 2021

Applied Sciences

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Reliability performance, especially the lower confidence limit of reliability, plays an important role in system risk and safety assessment. A good estimator of the lower confidence limit of system reliability can help engineers to make the right decisions. Based on the lifetime of the key component in a typical satellite intelligent power distribution system, the generalized fiducial method is adopted to estimate the lower confidence limit of the system reliability in this paper. First, the generalized pivotal quantity and the lower confidence limit of reliability for the key component are derived for the lifetimes of the exponential-type and Weibull-type components. Simulations show that the sample median is more appropriate than the sample mean when the lower confidence limit of reliability is estimated. Moreover, the lower confidence limit of reliability is obtained for the typical satellite intelligent power distribution system through the pseudo-lifetime data of the metallic oxide semiconductor field effect transistor. The lower confidence limit of reliability for this power distribution system at 15 years is 0.998, which meets the factory’s reliability requirement. Finally, through the comparison, a hot standby subsystem can be substituted with a cold standby subsystem to increase the lower confidence limit of the system reliability.

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Section: Resultsmentioning

confidence: 99%