Abstract
The twin-screw pump (TSP) is widely used in naval engineering for seawater transportation and treatment. However, the diverse composition of seawater, often containing impurities, poses a risk of screw corrosion and jamming of clearances. Detecting the compact internal structure's clearance between rotor and stator (GAPR) proves challenging. To address these challenges, a novel approach combining chaos theory's reconstructive phase space technique was proposed for processing pressure pulsation signals. The research found that only specific monitoring points displayed chaotic characteristics in pressure pulsation signals. The attractor structure complexity increased with GAPR changes, while the chaotic features decreased. Nonlinear analysis of pulsation signals at different GAPR values allowed determining reasonable ranges. Applying support vector classification algorithm based on chaotic dynamics achieved an impressive 89% accuracy in identifying GAPR values. This study offers practical insight for TSP fault detection and operational optimization, holding significance in both theory and practice.
Funder
the National Natural Science foundation of China
the National Natural Science Foundation of China
Priority Academic Program Development of Jiangsu Higher Education Institutions
Open Project of program of engineering research center of High-efficiency and Energy saving Large Axial Flow Pumping system, Jiangsu Province, Yangzhou University
Natural Science Foundation of the Jiangsu Higher Education Institutions of China
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