Power Plant Case Study | Advancing Predictive Maintenance with Online Oil Monitoring
At a major power plant, the primary air fan lubrication system plays a critical role in ensuring stable and continuous operation. Any degradation in turbine oil performance can directly impact equipment reliability and maintenance costs.
To address this, an IOL-H3 Intelligent Online Oil Monitoring System was deployed at the primary fan oil station, enabling real-time condition monitoring and data-driven maintenance.
Key Deployment Details:
Oil Type: ISO VG 46 Turbine Oil
Installation Points: Oil tank side return line & top return line
Data Transmission: RJ45 (local deployment)
Comprehensive Monitoring Parameters:
Wear analysis (sliding, cutting, adhesive wear)
Kinematic viscosity @ 40°C
Contamination level (particle count)
Water content & saturation
Dielectric constant (oil quality)
Temperature, density, pressure
Vibration & flow rate
What This Means for Operations:
By integrating multi-parameter sensing with continuous monitoring, the system provides early detection of:
Abnormal wear patterns
Oil contamination and water ingress
Lubrication degradation
This enables a shift from reactive maintenance to predictive maintenance, helping the plant:
Reduce unplanned downtime
Extend equipment lifespan
Optimize maintenance cycles
As power plants move toward digitalization and intelligent O&M, online oil condition monitoring is becoming a key enabler of reliability and efficiency.
If you're exploring similar solutions for turbines, compressors, or critical rotating equipment, feel free to connect or reach out.
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