What Sets It Apart?

It Assesses Emerging Faults


It helps to take proactive action as compared to current systems, which work to protect assets against damage.

Uses an Existing Redundant Sensor


Uses a Single existing sensor mounted by OEM as compared to others where analysis is based on multiple sensors.

Direct (and therefore early) Measurement


Any abnormality in the turbine first affects the IAS of the rotating shaft. This is picked up by the MPU. current systems indirectly measure faults

Data Processing Is Done On Edge


All Analysis of the data is done in the customer environment. Monitoring of this data can be done In-situ as well as Remotely

Key Features Of Our Gas Turbine Condition Monitoring Solution

A. Health indicators for the Turbine

  • Shaft Speed (RPM of shaft)
  • Shaft Health (Dynamic state of the shaft - include instability / erosion or damages to the blades.)
  • Regulations / Deviations (Deviation in Speed)
  • Mis alignment (Misalignment in Turbine and attached gearbox)
  • Bearing Health(Shocks experienced / frictional loss in Journal bearings)
  • Combustion Kit (Quality of Injection and combustion (incase of Gas Turbines)

B. Alerts & Instructions

This information is a summary of recommended actions based on the nature of the operation for the operator to either be aware of or to act.

  • Red Triangle: Indicates exercising caution and watching related gas turbine operation closely (pre-alert conditions)
  • Red circle: Indicates the alert condition. You may need to understand the operating condition better if you need minor intervention or troubleshooting if the trend/gas turbine dynamic behavior persists irrespective of load conditions.

C. Trends

The Trends tab is used to draw long-term trends (approx. 3- Months) for different indicators in required combinations.

Machine reliability maintenance management is committed to enhancing the reliability of machines and optimizing spare parts usage during maintenance, ultimately contributing to sustainability efforts. By strategically managing assets, organizations can improve equipment reliability, minimize downtime, and reduce unnecessary resource consumption. This approach involves carefully monitoring machine performance, identifying potential faults, and implementing proactive maintenance measures to address issues before they escalate. Through effective asset reliability management practices, companies can achieve greater operational efficiency while minimizing environmental impact. When it comes to assets like engines and gas turbines, Spectrum Oceanic’ advanced Condition Monitoring tools, the engine condition monitoring system and turbine condition monitoring, play a crucial role in this process by detecting faults at an early stage, optimizing the scope of maintenance, and providing insights into asset condition. In the era of sustainability, oil plays an important role in prolonging the life of assets; therefore, managing oil becomes an important aspect of the asset reliability program. Oil Quality Management Solution involves oil condition monitoring and kidney loop filtration which ensure optimal lubrication effectiveness. By monitoring oil quality, organizations can further enhance equipment performance.