Compressor Stall Warning Using Nonlinear Feature Extraction Algorithms

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Researchers at Purdue University have developed robust algorithms which can detect small disturbances and therefore trigger stall warnings sooner than traditional compressor stall warnings. The technique works for both modal-type and spike-type stall inception, and is compatible with a variety of compressors. By reading inputs from transducers, changes in engine operating conditions can be logged such that the system can react before catastrophe takes place. This cutting-edge gas turbine technology ensures safe operations for compressors and gas turbine engines.


-Detection of small nonlinear disturbances prior to compressor stall
-Extremely accurate
-Works for variety of compressor types
-Works with both modal and spike type stall inceptions
-Eliminates flow instability

Potential Applications:

-Gas turbinesin aviation and power
-Process compressors
-Aircraft operations
-Engine health monitoring (EHM)
Jul 1, 2020
Utility Patent
United States
Aug 16, 2022

Jul 1, 2020

Jul 8, 2019
United States
Purdue Office of Technology Commercialization
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