Predictive Maintenance of the Hydraulic System: Predict Failures, Prevent Loss
Predictive Maintenance of the Hydraulic System: Predict Failures, Prevent Loss
Hydraulic systems play a critical role in many areas, from industrial production to mobile machines. However, these systems wear out over time and require maintenance because they are constantly operating. While conventional maintenance methods generally proceed with the understanding of "intervention after failure", the predictive maintenance approach is one step ahead:it predicts and prevents problems before they occur.
So what is predictive maintenance and how is it applied in hydraulic systems?
What is Predictive Maintenance?
Predictive maintenance is a maintenance approach that collects real-time data about the current status of equipment and enables possible malfunctions to be detected in advance. This method is a condition-based maintenance strategy, nota time-based one. In other words, the necessary intervention is made before the system "breaks down".
Why Predictive Maintenance?
Reduces unplanned downtime
Reduces maintenance costs
Extends part life
Improves operational efficiency
Improves security
A leak or wear in the hydraulic systems can cause the production line to stop completely. Therefore, detecting malfunctions in advance provides significant time and cost savings.
Predictive Maintenance Applications in Hydraulic Systems
Some sensors, monitoring devices, and data analysis systems are required for predictive maintenance to be effective. Here are some applications specific to hydraulic systems:
Oil Analysis
Hydraulic oil is like the "blood" of the system. Parameters such as viscosity, contamination level, water content and particle density of the oil can be continuously monitored to obtain information about the health of the system.
Pressure and Temperature Sensors
Pressure or temperature values that go out of normal during operation may be a sign of malfunctions such as leakage, blockage or overload in the system.
Vibration and Acoustic Analysis
Vibration changes in moving parts such as pumps, motors and valves are highly effective in detecting premature bearing failures.
Filter Monitoring
By monitoring the occupancy of the filters, they can be changed before they become clogged. This, in turn, maintains oil flow and system performance.
IoT and Data Monitoring Systems
With Industry 4.0, IoT-based monitoring systems have become widespread. Thanks to cloud-based software, data can be monitored remotely and fault predictions can be made with artificial intelligence.
Solution from Hidroman: Smart Hydraulic System Tracking
As Hidroman, we offer smart sensor solutions, oil monitoring kits and online data tracking platforms that support the predictive maintenance approach . In this way, our customers not only reduce maintenance costs, but also increase the safety and efficiency of their systems.
Predict, Prevent, Win!
Being able to predict failures in hydraulic systems provides a great advantage in terms of both production continuity and investment protection. Predictive maintenance practices are key to protecting not only the present, but also the future.
It's time to determine maintenance time with data, not guesswork. Future-proof your system with predictive maintenance.