Sensors
Measure conditions, such as pressure and temperature, as well as motion and vibration.
With predictive maintenance tools, original equipment manufacturers (OEMs) can improve maintenance resource use and reduce downtime.
Predictive maintenance uses industrial Internet of Things (IIoT) technologies to predict equipment health and maintenance needs before emergencies and downtimes. Organizations are using predictive maintenance data to make current and future maintenance planning decisions.
An IIoT platform can simplify predictive maintenance so organizations can reap its benefits and maintain security.
When industrial machine manufacturers incorporate IIoT-based predictive maintenance into their machines, customers can maximize productivity and gain valuable process insights. With predictive maintenance, companies can:
Measure conditions, such as pressure and temperature, as well as motion and vibration.
Links machines and sensors to one another and the cloud.
Enables systems to learn and improve independently.
Pulls everything together for total visibility.
How Large Is the Predictive Maintenance Market?
According to Fortune Business Insights, the predictive maintenance market is growing by over 25% each year.
Source: “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. fortunebusinessinsights.com
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