Development of Air Entrainment Detection Method for Pumps Using Motor Current Signals

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Authors: Yasuhiro Kamino, Ryotaro Shinozuka, Takeru KOBAYASHI, Tomoyuki Iwawaki, Makoto Kanemaru
Cited by: 0
References: 14

Abstract

ABSTRACT Simple and cost‐effective methods for air entrainment detection are required for the efficient maintenance of pump systems. Recently, motor current signature analysis (MCSA) has been gaining attention for motor fault detection. In this paper, we review the characteristics of motor current signals in an air entrainment state and propose an MCSA technique for air entrainment detection. We observed that the foot around the fundamental harmonic spectrum in the power spectral density of current signals increased with an air entrainment. Based on these results, we propose defining a characteristic value which reflects this feature.

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Oil and Gas Production Techniques Electric Motor Design and Analysis

Publication details

Journal / source
Electrical Engineering in Japan
Volume
219
Issue
2
Pages
3–10
Publication date
28 February 2026
Language
EN