Predictive Diagnostics and Condition Monitoring of Hydraulic Systems
Preventing emergency shutdowns, reducing downtime, and improving equipment reliability
Predictive diagnostics of hydraulic systems enables early detection of wear indicators and operational deviations in equipment. This helps reduce downtime, optimize maintenance, plan service activities, and ensure stable operation of production lines.
End-to-end approach to hydraulic system monitoring and diagnostics:
FUNCTIONALITY:; BENEFITS:;
Fault detection and high data acquisition frequency; Continuous high-frequency data collection from equipment (especially hydraulic systems). Constant recording at 30–50 ms intervals, with precision recording down to 1 ms (1000 Hz) triggered at the moment of deviation from normal operating conditions;
Root cause and anomaly detection; Early identification of deviations and prevention of cascading failures. Creation of a unique data set for further optimization and increased reliability.;
Data unification and centralization; Collection and storage of data from various sensors and systems, with data export to MES/ERP, Cloud, and analytics platforms, eliminating fragmentation and creating a unified database for analysis and deployment of AI/ML analytics. ;
Unified diagnostic console; A single console for data acquisition from 20–40 channels per technical unit and streaming data into the common MES/ERP environment for monitoring and analysis. :;
Remote technical support:; Ability to involve experts for fault analysis and troubleshooting.;
Eliminate “blind spots” in diagnostics for continuous equipment operation
Prevent emergency situations
Plan maintenance and repair activities
Reduce non-productive time (NPT) by 10–30%
Reduce emergency replacements by 15–40%
Increase and extend equipment service life
Transition from reactive to predictive maintenance
Model equipment operation based on data
Contact us to implement a modern diagnostics and monitoring system and take equipment operation to a new level of reliability and efficiency. info@servopro.ru
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