2017Unpublished venueRequires access

Condition monitoring on grease lubrication of rolling bearing using AE technology

Kaiqiang Wang, Xiaoqin Liu, Xing Wu, Zhenjun Zhu

Open publisher page 15 citations

Abstract

We use acoustic emission (AE) technology to monitor the lubrication state of rolling bearing. Firstly, it is to collect the continuous signal of the poorly lubricated rolling bearings on the rotating machinery through the acoustic emission acquisition system, and then the analysis of RMS and other parameters is carried out. Finally, the experimental results show that RMS and total energy are effective parameters to detect the lubrication condition of rolling bearings and to determine the optimal amount of grease for rolling bearings, which can also be used for on-line monitoring.

About this research paper

What this paper is about

We use acoustic emission (AE) technology to monitor the lubrication state of rolling bearing. Firstly, it is to collect the continuous signal of the poorly lubricated rolling bearings on the rotating machinery through the acoustic emission acquisition system, and then the analysis of RMS and other parameters is carried out. Finally, the experimental results show that RMS and total energy are effective parameters to detect the lubrication condition of rolling bearings and to determine the optimal amount of grease for rolling bearings, which can also be used for on-line monitoring.

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We use acoustic emission (AE) technology to monitor the lubrication state of rolling bearing. Firstly, it is to collect the continuous signal of the poorly lubricated rolling bearings on the rotating machinery through the acoustic emission acquisition system, and then the analysis of RMS and other parameters is carried out. Finally, the experimental results show that RMS and total energy are effective parameters to detect the lubrication condition of rolling bearings and to determine the optimal amount of grease for rolling bearings, which can also be used for on-line monitoring.

Key concepts: Lubrication, Grease, Bearing (navigation), Acoustic emission, Condition monitoring, SIGNAL (programming language), Materials science, Acoustics

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