Top 10: Predictive Maintenance Tools

Predictive maintenance is becoming an important aspect of operations within the data centre industry. Particularly as AI continues to become even more in demand, businesses are now able to access an even clearer picture than before.

In simple terms, predictive maintenance is a preemptive approach to data centre operation. The strategy uses tools like AI to predict potential issues and what parts of the facility need maintenance before they arise. It is expected to increase enterprise productivity by 25% to reduce breakdowns in the data centre by 70% and lower maintenance costs by 25%, as opposed to reactive maintenance.

With this in mind, Data Centre Magazine showcases some of the leading predictive maintenance tools across the wider technology sector.

10. Uptake

As a maintenance analytics provider, Uptake specialises in industrial AI and analytics solutions. It offers predictive maintenance capabilities that can be used in data centre environments and helps companies translate underutilised data into insights that predict and prevent failures before they happen.

The organisation promises to deliver real-time insights easily and presents streamline results delivered in an ultra-simple UI. Working predominantly with fleets, Uptake can help to enable better business decisions to return value faster. Likewise, its products are simple to use and easy to scale.

9. PTC ThingWorx

PTC's IoT platform ThingWorx includes predictive maintenance capabilities that can be applied to data centre assets. With the tool, enterprises can build smart and connected products, in addition to operations and software to create powerful IoT solutions that can quickly transform businesses.

The ThingWorx platform is also a complete end-to-end technology platform designed for the industrial Internet of Things (IIoT). It can deliver tools and technologies that empower businesses to rapidly develop and deploy powerful applications and augmented reality (AR) experiences.

8. GE Digital SmartSignal

From General Electric (GE), the Digital SmartSignal predictive maintenance software can be used to monitor and predict failures in critical data centre equipment. The predictive analytics can provide powerful models for a business’ most critical investments and are backed by years of OEM expertise from the organisation. 

7. SAP Predictive Maintenance and Service

SAP's cloud-based solution uses machine learning and advanced analytics to predict equipment failures in data centres. The tool uses an AI-based predictive maintenance model to determine an equipment’s failure curve based on calculated probabilities and estimate the remaining useful life.

Businesses are also able to plan, schedule and execute maintenance operations better by integrating intelligent technologies that deliver new value and are able to optimise processes. SAP is also eager to help meet sustainability goals with predictive maintenance by helping to extend equipment life and leverage risk management. 

6. Siemens Predictive Maintenance

Siemens is able to offer predictive maintenance solutions that can be applied to data centre equipment and systems. With the company’s expertise, companies can plan and execute plans for cost reductions, maintenance efficiencies and support knowledge capture and sharing.

Solutions by Siemens are offered across all industries that are looking to enable predictive maintenance at scale. In particular, its Senseye Predictive Maintenance tool offers visibility and insights into all assets to reduce downtime, increase knowledge sharing and accelerate digital transformation across a business. 

5. KONE

With its connected services, KONE uses advanced analytics to continuously monitor cloud data from lifts, escalators and automatic building doors. The data comes from equipment sensors and gives insight into equipment condition and performance and offers building owners more flexibility and a more efficient approach to equipment maintenance.

One of the key benefits of KONE predictive maintenance services is data-driven recommendations for asset management and maintenance. The KONE Online portal and the KONE Mobile app give access to performance, maintenance and repair data that helps facility managers make decisions.

Sensors, cloud capability, analytics software and other predictive maintenance tools can be part of new installations or can be retrofitted to existing equipment.

4. Nlyte Software

Nlyte provides DCIM solutions with predictive maintenance capabilities for data centre assets and infrastructure. The organisation can help to effectively integrate building automation controls with data centre infrastructure management (DCIM) software to more efficiently control a data centre’s critical infrastructure.

Additionally, the tools can help monitor end-to-end telemetry points to predict and optimise power and thermal efficiencies, in addition to reducing disruptions from maintenance cycles. It can also help to predict and avoid unplanned outages and optimise application workload placement.

3. Vertiv Predictive Maintenance Services

Leading data centre provider Vertiv offers a leading range of predictive maintenance solutions to evaluate the condition of data centre equipment and determine the most cost-effective and manageable solution to ensure its overall performance, safety and reliability.

The company aims to boost a company’s system performance in their data centre and avoid costly problems by implementing a preventive maintenance programme.

Flora Cavinato, Global Service Product Portfolio Director at Vertiv, tells Data Centre Magazine: “Predictive maintenance plays a vital role in enhancing data centre efficiency and resource management. AI not only aids in predicting and preventing potential equipment failures, maintenance needs, and environmental risks, but also facilitates adaptive infrastructure optimisation.”

2. Schneider Electric Data Center Expert

This software from Schneider Electric is designed to provide real-time monitoring, management and predictive maintenance capabilities for data centre infrastructure. Data Centre Expert is able to offer a comprehensive centralised monitoring solution (through existing dashboards, custom portals for financial, operational, or other views). 

Likewise, the tool provides on-premises monitoring for data centre power, cooling, security, and environment. It offers graphs, reports, instant fault notifications and escalation to resolve events and ensure the availability of critical infrastructure. 

The tool is part of Schneider Electric’s EcoStruxure offering, its on-premises DCIM software. 

1. IBM Maximo

IBM Maximo is an enterprise asset management platform that leverages AI and IoT for advanced predictive maintenance and lifecycle management of data centre assets. It was purchased by IBM in 2006 and is designed to assist businesses in managing assets such as buildings, vehicles, fire extinguishers and maintenance schedules.

IBM Maximo Health helps businesses understand the status of critical equipment and assets with insights from data and analytics to make smarter decisions about management and maintenance. Additionally, IBM Maximo Predict works to unify operational data into analytics-driven predictive maintenance models that help users optimise maintenance planning to improve asset reliability.

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