Slide One

Strengthening Military Operations with Engine
Condition Monitoring Technology.

Slide One

Strengthening Military Operations with Engine
Condition Monitoring Technology.

Gas Turbine Condition Monitoring System

Gas turbine condition monitoring system is a cutting-edge technology that measures Instaneous Angular Speed (IAS) to enable early-stage prediction of turbine health much earlier than other systems. Conventional systems are complex and use several accelerometers to monitor the health of the turbine but it does not prevent failure.

Interested to Know More? Get on Call with Our Expert for a Detailed Walkthrough Of The Technology

How Does it Work?

The system uses any one of the redundant speed sensors mounted by the OEM on the turbine. No other installation is required.

What Sets It Apart?

It Asses Emerging Fault

It helps to take proactive action as Read more

Uses an Existing Redundant Sensor

Uses a Single existing sensor Read more

Direct (and therefore early) Measurement

Any abnormality in the turbine first Read more

Data Processing Is Done On Edge

All Analysis of the data is doneRead more

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(Shockss 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.

  • Live Diagnostic Status: It indicates the processor status when processing the input right from data recording.
  • Signal Status:I It indicates synchronization information between two sensors when needed
  • Latest Reports: ILast processed Report can be downloaded in different formats such as Graphic, Spreadsheet, Raw Data, and JSON text as seen below. For extensive downloading one can visit the “downloading” tab from the side bar.

  • Interested to Know More? Get on Call with Our Expert for a Detailed Walkthrough Of The Technology

    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, Neptunus’ 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.

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