A System's Mean Time To Repair Allocation Method Based on the Time Factors

Zhou, Dong; Lv, Chuan; Li, Yongxiang; Guo, Zhiqi

doi:10.1002/qre.1493

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Therefore, operational availability is a function of the maintenance policy and logistics. With the measured data, the value for the whole system or just some component or a device within the system can be calculated: The mean time to repair starts with the actual alarm/event occurrence and consists of the fault detection time (FDT) and repair time (RT) [30]:…”

Section: Event Processingmentioning

confidence: 99%

Improved Data Center Energy Efficiency and Availability with Multilayer Node Event Processing

Matko

Brezovec²

2018

Energies

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This article presents an overview of a new multilayer node event processing (MNEP) method for improved data center energy efficiency and event management monitoring in its physical infrastructure. Event management is essential for the provision and maintenance of the reliability and functionality of the physical infrastructure. For effective maintenance, action preventing any downtime accurate event information as well as appropriate energy support is of outmost importance. The novelty of this approach lies in the enhanced availability and reliability of the physical infrastructure, improved data center infrastructure energy efficiency, as well as lower costs when designing a new physical infrastructure system. The MNEP method presents a data model based on the node tree processing. The experimental results show that the number of all potential unexpected events is reduced significantly as a result of the accurate identification of the alarm root cause. The comparison of time parameters required to evaluate the maintenance factors shows that the time needed to detect, identify, and react to alarm events decreases and has a significant impact on maintaining a defined high level of availability and energy efficiency in a data center physical infrastructure.

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Section: Event Processingmentioning

confidence: 99%

Improved Data Center Energy Efficiency and Availability with Multilayer Node Event Processing

Matko

Brezovec²

2018

Energies

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Evolving reliability & maintainability allocations for NASA ground systems

Munoz

Conner

Toon

et al. 2016

2016 IEEE Aerospace Conference

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The analysis of machine operation and equipment loss in ironworks and steelworks

Maszke

2017

Production Engineering Archives

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The article presents a case study of the identification and analysis of operating and equipment losses in a steel plant. Losses may be visible in costs resulting from premature wear of machine and equipment components, removal of emergency failures related to quality losses, including loss of reputation of a reliable supplier, as well as losses related to production, especially in the case of continuous production. The analysis of losses was based on the cost criterion, including losses resulting from the loss of a potential client. The real data from the 2016 were used in the case study. In order to ensure proper operation at the finishing department, standard solutions have been developed. The analysis of losses was based on the Pareto principle and the analysis of TPM coefficients.

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A System's Mean Time To Repair Allocation Method Based on the Time Factors

Cited by 4 publications

References 16 publications

Improved Data Center Energy Efficiency and Availability with Multilayer Node Event Processing

Improved Data Center Energy Efficiency and Availability with Multilayer Node Event Processing

Evolving reliability & maintainability allocations for NASA ground systems

The analysis of machine operation and equipment loss in ironworks and steelworks

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