Success Story Predictive Maintenance
Gas turbines are considered the cleanest and most efficient fossil fuel power plants. In addition, they offer an incredible variety of possible applications: from cogeneration to vehicle propulsion. Gas turbines can be a component of complex machines whose high efficiency depends on the optimal condition of the entire plant. Modern data evaluation methods can detect even the slightest changes in machine behavior.
pre-warning time before critical damage occurs
- During peak and medium load operation, power plants must respond quickly to fluctuations in demand in the grid. Different power levels are passed through within a short time
- Due to the large power bandwidth, the characteristics of a gas turbine can vary greatly. The reactions of the plant, e.g. with regard to the vibration patterns that arise, are complex
- In this case a crack in a turbine blade led to small but noticeable change in the dynamic vibration behavior
- Unnoticed, this damage can lead to a break-off and thus result in a long maintenance shutdown
- The aging state and maintenance history mean that each turbine develops its own unique signature, which also changes over time.
- The combination of all available operational information, such as fuel flow and environmental data, as well as the manual intervention of operators, allows for better forecasts of the vibration behavior
- Even the smallest deviations in behavior become visible, long before critical vibration values are reached
- The early detection of damage allows a protective intervention in the operation, as well as a timely maintenance planning
Louis von Beaulieu
Phone: +49 160 90839756