The analysis of compression system instabilities using approximate entropy for centrifugal blower

This paper examines the early-stage nonlinear disturbances that preceded deep surge in a centrifugal compressor and proposes the use of Approximate Entropy (ApEn) as a diagnostic indicator in a novel combination with its derivative (DApEn). ApEn, a statistical measure of time-series irregularity, is applied to pressure signals acquired from multiple locations within the system. Results reveal that as the flow becomes increasingly unstable, the regularity of the pressure signal deteriorates, resulting in elevated ApEn values. Moreover, the emergence of sharp variations in differential Approximate Entropy (DApEn) serves as a sensitive marker for the onset of flow instabilities, including inlet recirculation and surge. The findings, obtained on a low-speed centrifugal compressor, demonstrate the method’s ability to capture subtle changes in system dynamics and indicate its potential for wider turbomachinery applications that will require future validation.

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Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2025-11-13
DOI
https://doi.org/10.1016/j.ymssp.2025.113628
Primary Topic
Turbomachinery Performance and Optimization
Type
article
Field-Weighted Citation Impact
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article

The analysis of compression system instabilities using approximate entropy for centrifugal blower

Piotr Korbel, Mohd Zulham Affandi Mohd Zahid, Grzegorz Liśkiewicz
Mechanical Systems and Signal Processing
Turbomachinery Performance and Optimization
article

The analysis of compression system instabilities using approximate entropy for centrifugal blower

Piotr Korbel, Mohd Zulham Affandi Mohd Zahid, Grzegorz Liśkiewicz
article en

Abstract

This paper examines the early-stage nonlinear disturbances that preceded deep surge in a centrifugal compressor and proposes the use of Approximate Entropy (ApEn) as a diagnostic indicator in a novel combination with its derivative (DApEn). ApEn, a statistical measure of time-series irregularity, is applied to pressure signals acquired from multiple locations within the system. Results reveal that as the flow becomes increasingly unstable, the regularity of the pressure signal deteriorates, resulting in elevated ApEn values. Moreover, the emergence of sharp variations in differential Approximate Entropy (DApEn) serves as a sensitive marker for the onset of flow instabilities, including inlet recirculation and surge. The findings, obtained on a low-speed centrifugal compressor, demonstrate the method’s ability to capture subtle changes in system dynamics and indicate its potential for wider turbomachinery applications that will require future validation.

Mechanical Systems and Signal ProcessingVol. 242
Lodz University of Technology (PL), Texas A&M University (US)
Openalex Percentile: Top 55%
Turbomachinery Performance and Optimization
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