Condition Based Maintenance for Data Center Operations Management

doi:10.1109/JCSSE.2019.8864169

Paper

Condition Based Maintenance for Data Center Operations Management

Published Jul 1, 2019 · M. Wiboonrat

2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)

UNKNOWN SJR score

1

Citations

0

Influential Citations

Full textSemantic Scholar

Abstract

Power distribution system (PDS) of data center has designed for high reliability and fault tolerance by deploying a redundant topology. Optimal data center reliability requires 4 principals which consist of topology design by standard; reliable components or mean time between failures (MTBF); real-time monitoring by data center infrastructure management (DCIM); and preventive maintenance through data center operations. However, data center needs more proper operations and maintenance approach to avoid planned and unplanned downtime. The best practice for data center operations management should be applied predictive maintenance or condition-based maintenance (CBM) to monitoring of critical components and systems. These processes will ensure that the system parameters will perform on their functions, and estimate remaining useful life of components for critical mission. Time-based maintenance (TBM) (preventive maintenance) has been applies for supplementary PDS components that define as not mission critical systems. This research proposes a model of preventive and predictive maintenance (PPM) for PDS of data center, which has been verified to improve maintenance efficiency and reduce operating costs of repair time and inventory. How to identify potential problems in early state before component and system failures are the key to prevent planed and unplanned downtime.

Study Snapshot

Condition-based maintenance (CBM) for data center power distribution systems improves maintenance efficiency and reduces operating costs, preventing planned and unplanned downtime.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Sign up to use Study Snapshot

Consensus is limited without an account. Create an account or sign in to get more searches and use the Study Snapshot.

Create an account

Paper

Condition Based Maintenance for Data Center Operations Management

Sign up to use Study Snapshot

References

Unavailability model for demand-caused failures of safety components addressing degradation by demand-induced stress, maintenance effectiveness and test efficiency

This paper proposes a new model for demand-caused failures of safety components, considering demand-induced stress, maintenance effectiveness, and test efficiency.

The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance

Condition-based maintenance (CBM) offers more effective maintenance actions, but its performance depends on factors like deterioration process behavior, failure severity, setup time, measurement accuracy, and deterioration randomness.

A review of diagnostic and prognostic capabilities and best practices for manufacturing

Prognostics and health management (PHM) technologies in manufacturing can improve performance, safety, reliability, and maintainability through efficient diagnostics and prognostics.

On condition based maintenance policy

Condition-Based Maintenance (CBM) improves asset efficiency by diagnosing and predicting abnormalities based on monitored data, executing suitable maintenance actions before serious problems occur.

Sensors and IEDs Required by Smart Distribution Applications

Smart Distribution applications, such as Volt&VAR Control, Fault Location, and Power Quality Monitoring, rely on sensors and intelligent electronic devices for real-time monitoring and automatic grid reconfiguration.

Citations

Digital Twin Model for Smart Maintenance of Data Center Facilities : Study Literature Review

Digital twins can optimize maintenance strategies in data centers, ensuring service availability and supporting digital transformation.