Methods and Systems for Blade Health Monitoring

A system for blade health monitoring, the system comprising:

• a feature extraction module configured to:
• continuously receive blade passing signal data associated with a clearance of a blade;
• and
• pre-process the blade passing signal data, wherein blade clearance feature data is extracted from the blade passing signal data prior to transmission to an anomaly detection module;
• and
• the anomaly detection module, in communication with the extraction module, is configured to:
• normalize the blade clearance feature data received from the extraction module,
• analyze the blade clearance feature data to detect a shift in the clearance of the blade;
• and
• determine at least one abnormality of the blade based at least in part on the shift exceeding a predetermined shift threshold.

A system comprising:

• a gas turbine compressor including a plurality of blades;
• a plurality of magnetic sensors to sense blade passing signals from the plurality of blades;
• an extraction module configured to:
• continuously receive blade passing signal data associated with a clearance of the plurality of blades;
• and
• pre-process the blade passing signal data, wherein blade clearance feature data is extracted from the blade passing signal data prior to transmission to an anomaly detection module;
• and
• the anomaly detection module, in communication with the local extraction module, and configured to:
• normalize the blade clearance feature data received from the extraction module;
• analyze the blade clearance feature data to detect a shift in the clearance of the blade;
• determine at least one abnormality of the blade if the shift exceeds a predetermined shift threshold;
• assess a confidence level of the shift;
• and
• selectively declare an alarm condition based on the confidence level.