脑电双频指数
熵(时间箭头)
印章(徽章)
材料科学
振幅
声学
状态监测
机械工程
工程类
光学
物理
热力学
电气工程
医学
艺术
视觉艺术
镇静
药理学
作者
Haocheng Bi,Muming Hao,Ren Baojie,Xinhui Sun,Tianzhao Li,Kailiang Song
出处
期刊:Industrial Lubrication and Tribology
[Emerald (MCB UP)]
日期:2023-11-14
卷期号:75 (10): 1246-1252
标识
DOI:10.1108/ilt-07-2023-0242
摘要
Purpose The purpose of this paper is to investigate the monitoring of the friction condition of mechanical seals. Design/methodology/approach Acoustic emission signals from the friction of the seal end face were obtained, and their bispectral characteristics were extracted. The variation of non-Gaussian information with the degree of friction was investigated, and by combining bispectral characteristics with information entropy, a bispectral entropy index was established to represent the friction level of the seal end face. Findings In the start-up stage, the characteristic frequency amplitude of the micro-convex body contact is obvious, the friction of the end face is abnormal, the complexity of the system increases in a short time and the bispectral entropy rises continuously in a short time. In the stable operation stage, the characteristic frequency amplitude of the micro-convex body contact varies with the intensity of the seal face friction, the seal face friction is stable and the bispectral entropy fluctuates up and down for a period of time. Originality/value The bispectral analysis method is applied to the seal friction monitoring, the seal frequency domain characteristics are extracted, the micro-convex body contact characteristic frequency is defined and the bispectral entropy characteristic index is proposed, which provides a certain theoretical basis for the mechanical seal friction monitoring. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2023-0242/
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