Case Study: The Use of Predictive Maintenance in Data Center Operations

Introduction

In the rapidly evolving landscape of data center operations, maintaining high service availability, operational efficiency, and security are paramount. As the foundation for digital services, reliable operation is critical, and disruptions can be costly. Proactive strategies and innovation are key for data center managers to maintain a competitive edge and ensure reliable service, which is central to EDGE DC‘s offerings as a data center provider as will be explored in this short case study.

Background

Data centers are critical infrastructures that require continuous monitoring to prevent equipment failures, overheating, and other operational risks. Traditional maintenance approaches are often reactive or scheduled, which can lead to unexpected outages or inefficiencies. Our data centers—EDGE1 and EDGE2—demonstrate a strategic shift towards advanced operational practices, leveraging predictive maintenance to enhance reliability and reduce downtime.

In 2023, we implemented a pioneering predictive maintenance initiative utilizing thermal imaging technology. 

The Latest Insights in Predictive Maintenance

According to Deloitte, predictive maintenance is able to increase enterprise productivity by 25%, reduce breakdowns by 70% and lower maintenance costs by 25% – as opposed to reactive maintenance. This approach aligns with global industry trends emphasizing proactive management to mitigate risks before failures occur. Here are some of the latest insights:

The Growth: The global predictive maintenance market reached US$5.5 billion in 2022, growing at 11% from 2021. It is expected to continue expanding with a compound annual growth rate (CAGR) of 17% until 2028. 

IoT an AI application: Recent studies from Data Center Frontier also underscore the growing adoption of predictive maintenance leveraging IoT sensors, AI analytics, and thermal imaging. These technologies facilitate early fault detection, enabling data centers worldwide to achieve higher uptime, energy efficiency, and safety.

Lower cost, higher satisfaction: Techtarget reports highlight that predictive maintenance can reduce unplanned outages by up to 50%, significantly lowering operational costs and improving customer satisfaction.

Implementation of Predictive Maintenance in EDGE DC

Thermal Imaging System Development

The core of the predictive maintenance strategy at EDGE DC revolves around thermal imaging using FLUKE thermal image camera. Initially, data collection was manual—requiring operators to input data and analyze thermal images on paper or spreadsheets, which was time-consuming and prone to errors.

To address this, a web-based thermal imaging system was developed and deployed internally, enabling real-time data collection and automated analysis. This system features QR scanning and panel referencing, ensuring accurate historical data tracking and anomaly detection.

Monitoring and Anomaly Detection

The thermal imaging system enforces periodical scans panels and equipment, capturing temperature trends and spikes that may indicate overheating or impending failures. For example, in August 2023, the system detected a temperature spike on a panel, prompting immediate action to tighten bolts and prevent potential power loss or fire hazards.

Benefits Achieved

  • Increased operational efficiency by 50% in thermal data analysis.
  • Timely detection of anomalies reduces risk of equipment failure.
  • Enhanced historical data accuracy for predictive analytics.
  • Minimized manual effort and human error.

Challenges and Future Directions

While implementing predictive maintenance has yielded substantial benefits, challenges remain, such as there is still dependency on human activity which might trigger another human error. Future plan to include sensors on some of the places to enable thermal imaging activity to be done without technicians being required to visit the panel.

Conclusion

EDGE DC’s proactive approach to predictive maintenance exemplifies the industry shift towards smarter, more resilient data centers. By continuously adopting innovative technologies and practices, EDGE DC is setting a benchmark for operational excellence in Indonesia.

Adi Setiadi
Head of Operations
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