Reliability modeling for power converter in satellite considering periodic phased mission

Zeng, Ying; Huang, Tudi; Li, Yanfeng; Huang, Hong‐Zhong

doi:10.1016/j.ress.2022.109039

Cited by 10 publications

(4 citation statements)

References 37 publications

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“…The spindle system's efficacy is a major factor in the machine's overall reliability and efficiency. These aspects are vital in modern manufacturing, where extreme precision and high productivity are paramount [85][86][87][88]. CNC machine tool spindle systems are distinguished by their bespoke design, small-scale production, high precision, robust reliability, and substantial cost.…”

Section: Illustrative Examplementioning

confidence: 99%

Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences

Fu,

Zhang,

et al. 2024

Processes

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In the field of industrial equipment reliability assessment, dependency on either degradation or failure time data is common. However, practical applications often reveal that single-type reliability data for certain industrial equipment are insufficient for a comprehensive assessment. This paper introduces a Bayesian-fusion-based methodology to enhance the reliability assessment of industrial equipment. Operating within the hierarchical Bayesian framework, the method innovatively combines the Wiener process with available degradation and failure time data. It further integrates a random effects model to capture individual differences among equipment units. The robustness and applicability of this proposed method are substantiated through an in-depth case study analysis.

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Section: Illustrative Examplementioning

confidence: 99%

Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences

Fu,

Zhang,

et al. 2024

Processes

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show abstract

“…In addition, in the simulation processes, the stochastic Petri nets are suitable for identifying failures in the behavior of a satellite, including its scheduled and unscheduled maintenance. Zeng et al [40] verify models and analyze reliability using a probabilistic approach. Lihong Fan [7] assesses signal continuity and availability for BeiDou constellations using CTMC.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Aging Impact on SatelliteCommunication Availability

Bermudez,

Maciel

2024

Preprint

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Availability and maintainability of a satellite are relevant during scheduledand unscheduled maintenance outages. These maintenance tasks are importantduring the life of the satellite in orbit due to the hostile environment to whichthey will be subjected. Maintainability and availability strategies exist to ensuregreater reliability, achieve a minimum number of failures, and increase the meantime between failures. This article compares the availability model provided byNAVSTAR without aging with a new proposed SPN model with aging that showsan increase in satellite availability. To achieve the results obtained in the proposedSPN model, the variables of the scheduled and unscheduled outages of satellitemaintenance are used, injecting them into the proposed model.

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“…In order to evaluate the reliability of the program before and after adding the error detection mechanism for soft errors and to verify the effectiveness of the error detection mechanism [6][7][8], fault injection method [9,10], irradiation experiment method [11,12] and theoretical model analysis method [13][14][15][16][17][18] are widely used at present. The fault injection method simulates software errors randomly by hardware or software methods and observes the running results of the program under fault injection.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis for Programs with Redundancy Computation for Soft Errors

Meng

Zhang

Xue

et al. 2023

J. Phys.: Conf. Ser.

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Soft error is one of the factors which may affect the reliability of computer programs. A common method to alleviate the impact of soft errors is redundancy computation, a classical data flow error detection mechanism. However, a program with redundancy computation may still have some vulnerable spots, which might be caused by the flaw during implementation or the instruction reordering given by compiler optimization. Finding the vulnerable spots of a program with redundancy computation is of great significance to evaluate the capability of the error detection mechanism. There are some conventional methods to analyze the reliability of a program under soft errors, such as the irradiation experiment, fault injection, and modeling analysis. However, the irradiation experiment is expensive, fault injection is very time-consuming, and the existing modeling analysis methods have not considered the error detection mechanism. This paper proposes a novel method of reliability analysis for programs with redundancy computation by analyzing the dynamic instruction sequence. Experimental results show that our approach has fairly high accuracy and a false negative rate of about 0.0545.

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Reliability modeling for power converter in satellite considering periodic phased mission

Cited by 10 publications

References 37 publications

Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences

Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences

Analyzing Aging Impact on SatelliteCommunication Availability

Reliability Analysis for Programs with Redundancy Computation for Soft Errors

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