Diagnostics of gear systems using the spectral correlation density of the vibration signal

被引：0

作者：

Rubini, R ^{[1
]}

Sidahmed, M ^{[1
]}

机构：

[1] Univ Bologna, Fac Engn, Dipartimento Ingn Costruz Meccan Nucl Aeronaut &, I-40126 Bologna, Italy

来源：

(SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3 | 1998年

关键词：

signal processing techniques; cyclostationarity; vibration analysis; diagnostics; rotating machines; gear fault diagnostics;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is devoted to gear diagnostics using a new technique based on cyclostationary theory. Formulation of the method and calculation of the Spectral Correlation Density (SCD) are presented. The Spectral Correlation Function may be seen as a parameter. measuring the 'link' between harmonic components. This technique is demonstrated on simulated example, and used to analyse real vibration signals measured on an industrial like gear system. SCD is compared to classical (but powerful) phase modulation technique for the diagnostics of spalling in gear teeth. The results show that SCD may detect this fault in an early stage. Copyright (C) 1998 IFAC.

引用

页码：971 / 976

页数：6

共 50 条

[31] Unsupervised Gear Fault Diagnosis Using Raw Vibration Signal Based on Deep Learning
Li, Xueyi
Liu, Zhendong
Qu, Yongzhi
He, David
2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 1025 - 1030
[32] Coherence Analysis Of EEG Signal Using Power Spectral Density
Unde, Sukhada A.
Shriram, Revati
2014 FOURTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT), 2014, : 871 - 874
[33] MODAL SIMULATION OF GEAR BOX VIBRATION WITH EXPERIMENTAL CORRELATION
CHOY, FK
RUAN, YF
ZAKRAJSEK, JJ
OSWALD, FB
JOURNAL OF PROPULSION AND POWER, 1993, 9 (02) : 301 - 306
[34] Gear signal separation by exploiting the spectral diversity and cyclostaionarity
Sabri, K.
El Badaoui, M.
Guillet, F.
Adib, A.
Aboutajdine, D.
2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 3651 - 3654
[35] Diagnostics of mechatronical systems with vibration insulation
Trumpa, A.
Vekteris, V.
MECHATRONIC SYSTEMS AND MATERIALS, 2006, 113 : 371 - 374
[36] Vibration measures in the diagnostics of technical systems
Zoltowski, Bogdan
Dancova, Petra
Novosad, Jan
17TH INTERNATIONAL CONFERENCE DIAGNOSTICS OF MACHINES AND VEHICLES, 2018, 182
[37] BUILDING MODERN VIBRATION DIAGNOSTICS SYSTEMS BASED ON THE FREQUENCY-TIME TRANSFORMATIONS OF A MEASURED SIGNAL
Yasoveev, Vasikh
Akhmetshin, Marat
VII SCIENTIFIC CONFERENCE WITH INTERNATIONAL PARTICIPATION INFORMATION-MEASURING EQUIPMENT AND TECHNOLOGIES (IME&T 2016), 2016, 79
[38] Diagnostics of paper machine supercalender vibration issues using a DSPcentric dynamic signal analyzer
Menon, A.
STRUCTURAL HEALTH MONITORING 2007: QUANTIFICATION, VALIDATION, AND IMPLEMENTATION, VOLS 1 AND 2, 2007, : 582 - 589
[39] Vibration characteristics analysis of helical gear rotor systems using the integral model
Zhang, Y.-M. (zhangymneu@sohu.com), 1600, Northeast University (35):
[40] Vibration spectral characteristics of localized gear fault of planetary gearboxes
Feng, Zhipeng
Zhao, Leilei
Chu, Fulei
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2013, 33 (05): : 119 - 127

← 1 2 3 4 5 →