Optimize blower & fan maintenance
By tracking key parameters such as vibration, temperature, and operational hours, IMAnalytics helps in identifying wear and tear, need of cleaning, any imbalances or need of lubrication in your blower or fan.
The unexpected failure of a pump can cause significant operational disturbance, especially when it’s a critical asset. Unplanned downtime and the costs associated with emergency maintenance staff, and the loss of production, can be significant.
Frequent inspections are common for many industrial pumps due to their crucial role. However, these inspections provide only a momentary glimpse of the equipment’s health.
Online condition monitoring enables a shift from a reactive, manual maintenance approach to a predictive and preventive strategy.
Predictive maintenance focuses on identifying and addressing potential failures before they happen by closely monitoring the actual condition of the machinery.
For instance, repairs and servicing of your pump fleet are carried out precisely when needed, based on real-time performance data. This approach ensures that maintenance is both timely and necessary.
This enhances overall productivity by minimising downtime and optimising equipment performance.
IMAnalytics equips you with the insights needed for proactive decision-making, reducing unexpected interruptions and optimising your maintenance schedule.
by tracking critical parameters such as vibration, temperature, pressure and flow.
By tracking key parameters such as vibration, temperature, and operational hours, IMAnalytics helps in identifying wear and tear, need of cleaning, any imbalances or need of lubrication in your blower or fan.
In the heart of your production process, compressors play an important role. By proactively monitoring your compressors with our solutions, you not only prevent unexpected breakdowns but also protect your production from major consequences.
Implementing preventive maintenance and keeping track of your electric motor’s condition is essential for maintaining an efficient production process.