Predictive Maintenance

What Is Predictive Maintenance?

Predictive maintenance uses industrial Internet of Things (IIoT) technologies to predict equipment health and maintenance needs before emergencies and downtimes.

These technologies include:

Private LTE Network For Factory

Sensors to measure conditions, such as pressure and temperature, as well as motion and vibration


Connectivity that links machines and sensors to one another and the cloud

Engineer hand using tablet, heavy automation robot arm machine in smart factory industrial with tablet real time monitoring system application. Industry 4th iot concept.

Machine learning that enables systems to learn and improve independently


Edge and cloud computing to pull everything together for total visibility

Organizations are using predictive maintenance data to make current and future maintenance planning decisions. According to Fortune Business Insights, the predictive maintenance market is growing by more than 25% each year.1

With predictive maintenance tools, original equipment manufacturers (OEMs) can improve maintenance resource use and reduce downtime.

The Benefits of Predictive Maintenance

Predictive maintenance helps OEMs and their customers avoid traditional maintenance costs and disruptions. When industrial machine manufacturers incorporate IIoT-based predictive maintenance into their machines, their customers can maximize productivity while gaining valuable process insights. With predictive maintenance, companies can:

Monitor for performance abnormalities by outfitting machines with sensors to detect variances

Determine and project equipment health by applying predictive maintenance data analytics

Maximize equipment uptime and reduce disruptive downtime by predicting equipment malfunctions

Minimize disruption by scheduling maintenance procedures when they’re the least disruptive

Optimize resource management by dispatching field technicians with the right parts at the right time

Predictive maintenance can be complicated. An IIoT platform can simplify it so organizations can reap its benefits and maintain security.

Predictive Maintenance in Action

Telit deviceWISE® is helping manufacturers realize predictive maintenance benefits.

Gaining Greater Responsiveness with Real-Time Information

Machine-tool manufacturer MC Machinery needed to supply their customers with 24/7 production line monitoring. The company introduced a remote monitoring solution powered by Telit deviceWISE®. The solution’s remote diagnostics and fault monitoring allow for quick intervention. Customers saw:

  • Reduced downtime
  • Fewer costly, on-site maintenance visits
  • Improved real-time monitoring


Transform Field Service

Predictive maintenance can protect equipment and ensure operations continue uninterrupted. Telit enables OEMs to get real-time equipment performance insights by providing:

With Telit’s IoT-enabled predictive maintenance, manufacturers can realize improved productivity and ROI.

  1. “Predictive Maintenance Market Size, Share & Industry Analysis, By Component (Solution, Services), By Techniques (Power System Assessments, Infrared thermography, Temperature Monitoring, Fluid Analysis, Circuit Monitor Analysis, Vibration Monitoring, and Others), By Deployment (On-Premises and Cloud), By Organization Size (Small and Middle Enterprises (SMEs) and Large Enterprises), By End-User (Manufacturing, Government, Energy and Utilities, Transportation, Healthcare, Aerospace and Defence, and Others) and Regional Forecast, 2019-2026.” August 2020.