PREDICTIVE MAINTENANCE IS THE SOLUTION YOU NEED!
The smart and path breaking operations strategy anticipating machine failures.
We employ remote sensors and advanced analytics to alert you about failures well in time.
DAWN OF A NEW ERA!
Transform the approach to factory operations. Predict and Prevent component failure to keep your equipment operating at peak capacity.
Go on! Predict the Unpredictable with AccuPredict!
What do we do?
We keep your equipment running by preventing unplanned failures. We do this by monitoring vibrations of key components 24X7 from a distance.
We alert you in time about impending failures and actions needed to restore condition.
How does it work?
A 5 step process
- Connect sensors to critical components
- Monitor vibration signals 24X7
- Analyse the trend
- Identify the cause and the MTBF
- Recommend corrective action needed
Why choose us?
- A passionate team with decades-long experience in delivering Predictive Maintenance.
- The proven approach of prediction is based on machine fundamentals, not simple pattern matching.
- Large base of loyal customers worldwide across verticals.
WITH EXPERIENCE OF OVER THREE DECADES IN THE FIELD, WE INVITE YOU TO JOIN US ON THE JOURNEY TO OPERATIONS EXCELLENCE!
HAPPY CUSTOMERS AROUND THE WORLD! THE LIST CONTINUES TO GROW!
AccuPredict’s solution has proven to be cost effective and energy efficient. It not only helped us eliminate some of our catastrophic equipment failures, but also extended the operational life of machine components and reduced the costs of parts and labor.
A catastrophic failure of Steam Turbine was avoided due to periodic Vibration Monitoring. Predictive Maintenance is so very important, and people just neglect it. Until and unless they start facing the actual problem, they do not understand its benefits.
We saved 7 days of production and had financial benefit of several Millions as a direct result of implementation of AccuPredict’s Predictive Maintenance solution. It also helped us identify assets and operational processes that were at the greatest risk of failure.