General Electric Company

Kiran Vangari

Scott Alan Wood

Edward Michel

Lucas Christopher Hunt

Timothy Maker

Robert Pries

An approach for detecting rotor anomalies is disclosed. Vibration data for a vibration sensor(s) and for a transient speed operation is classified into a plurality of rotor speed ranges. A predetermined percentile vibration amplitude is determined for each rotor speed range for the vibration sensor(s). Using historical vibration measurement data obtained from a predetermined number of previous transient speed operations performed by at least the rotor, it is determine whether a vibration measurement obtained during the transient speed operation is indicative of a rotor anomaly by determining whether a trend exists in the predetermined percentile vibration amplitude for at least one of the rotor speed ranges and the vibration sensor(s) over a preset number of previous transient speed operations. A rotor anomaly is indicated where a trend exists.

Detecting rotor anomalies by determining vibration trends during transient speed operation

In one example embodiment, a fluid induced instability detection system is provided that monitors various vibration characteristics of a turbomachine, collects vibration data in real-time, and uses the vibration data to detect and analyze changes in various operating parameters such as vibration, speed, and loading conditions, and to provide an indication of a vibration anomaly and/or potential operational risk in one or more components of the turbomachine. The vibration data can be particularly associated with certain components that are directly or indirectly impacted by a modification in process fluid flow characteristics or lubrication oil flow characteristics in the turbomachine due to various reasons such as process fluid flow disturbances, lubricating oil flow disturbances, and/or a change in turbomachine operational parameters. The fluid induced instability detection system detects abnormalities in the vibration data and provides an indication of one or more potential faults in the turbomachine.

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Telangana, India

Kiran Vangari