Case Study ·
Would you like to know how predictive maintenance adds value to your operations? Through a 70% reduction in downtime, a 25% reduction in maintenance costs, and a 30% increase in the service life of critical components.
Request a predictive maintenance case study today!
In many facilities, maintenance follows a familiar pattern:
Inspect → Maintain → Repair
Everything is done at fixed intervals, based on experience and assumptions.
The problem:
Machines don’t stick to maintenance schedules.
Wear occurs asymmetrically. Bearings wear out gradually. Vibrations change long before anything visibly breaks down.
Without condition data, this remains invisible—until it’s too late.
Murat Mutlu, Solution Portfolio Manager, Conneqtive
The Solution:
Our real-world industrial project demonstrates how existing high-performance pumps were retrofitted with industrial-grade sensors in a very short time.
Vibration and temperature sensors then continuously provided condition data. Data was transmitted wirelessly—without disrupting ongoing processes. A central IoT platform collected and analyzed this information, visualized trends, and reported anomalies.
Retrofit:
Live data within a few weeks—without any downtime.
Our case study shows what’s possible when you:
• start pragmatically,
• focus on retrofitting,
• and view maintenance as a data-driven process.
The case study, including all technical details, KPI charts, and architectural information, will be available for download once you submit the form.