Hilbert-Huang Transform in Fault Detection

被引：13

作者：

German-Sallo, Zoltan ^{[1
]}

Grif, Horatiu Stefan ^{[1
]}

机构：

[1] Univ Med Pharm Sci & Technol Tirgu Mures, 38 Gherghe Marinescu St, Targu Mures 540139, Romania

来源：

12TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2018) | 2019年 / 32卷

关键词：

Fault diagnosis; signal analysis; Hilbert-Huamg transform; instantaneous frequency; EMD METHOD; DIAGNOSIS; SPECTRUM;

D O I：

10.1016/j.promfg.2019.02.257

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Failures of manufacturing systems represent a significant cost in both repairs and downtime. A considerable percentage of the maintenance cost is caused by unexpected drivetrain failures. This paper proposes a Hilbert-Huang transform (HHT)-based algorithm to effectively detect malfunctioning by revealing the instantaneous amplitude and frequency of nonlinear and nonstationary signals. The proposed algorithm is tested on synthetic signals created for this purpose. This paper presents the principles of this fault diagnosis method, results indicate that the proposed procedure can handle fault detection issues in manufacturing systems. (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：591 / 595

页数：5

共 12 条

[1] Improvement of the EMD method and applications in defect diagnosis of ball bearings [J].