Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults

Rub-impact between the rotating and static parts is a more common fault. The occurrence of faults is often accompanied by the generation of nonlinear phenomena. However, it is difficult to find out because the nonlinear characteristics are not obvious at the beginning of the fault. As a new frequenc...

Full description

Saved in:
Bibliographic Details
Main Authors: Yang Liu, Yulai Zhao, Jintao Li, Fangquan Xi, Shuanghe Yu, Ye Zhang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2019/3524948
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832549216478560256
author Yang Liu
Yulai Zhao
Jintao Li
Fangquan Xi
Shuanghe Yu
Ye Zhang
author_facet Yang Liu
Yulai Zhao
Jintao Li
Fangquan Xi
Shuanghe Yu
Ye Zhang
author_sort Yang Liu
collection DOAJ
description Rub-impact between the rotating and static parts is a more common fault. The occurrence of faults is often accompanied by the generation of nonlinear phenomena. However, it is difficult to find out because the nonlinear characteristics are not obvious at the beginning of the fault. As a new frequency domain-based method, nonlinear output frequency response functions (NOFRFs) use the vibration response to extract the nonlinear characteristics of the system. This method has a better recognition rate for fault detection. Also, it has been applied in structural damages detection, but the high-order NOFRFs have the characteristics that the signals are weak and the features are difficult to extract. On this basis, the concept of the weighted contribution rate of the NOFRFs is proposed in this paper. The variable weighted coefficients with orders are used to amplify the influence of high-order NOFRFs on the nonlinearity of the system so as to extract its fault characteristics. The new index RI is proposed based on Clenshaw–Curtis quadrature formula to eliminate the effect of artificially selected weighted coefficients on sensitivity. Especially in the early stage of the fault, the new index varies greatly with the deepening of the fault. Both simulation and experimental results verify the validity and practicability of the new index. The new index has certain guiding significance in the detection of mechanical system faults.
format Article
id doaj-art-17f70d22ebd84314a3c283f3773c263e
institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-17f70d22ebd84314a3c283f3773c263e2025-02-03T06:11:54ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/35249483524948Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor FaultsYang Liu0Yulai Zhao1Jintao Li2Fangquan Xi3Shuanghe Yu4Ye Zhang5School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, ChinaGuodian Science and Technology Research Institute, Shenyang 110102, ChinaRub-impact between the rotating and static parts is a more common fault. The occurrence of faults is often accompanied by the generation of nonlinear phenomena. However, it is difficult to find out because the nonlinear characteristics are not obvious at the beginning of the fault. As a new frequency domain-based method, nonlinear output frequency response functions (NOFRFs) use the vibration response to extract the nonlinear characteristics of the system. This method has a better recognition rate for fault detection. Also, it has been applied in structural damages detection, but the high-order NOFRFs have the characteristics that the signals are weak and the features are difficult to extract. On this basis, the concept of the weighted contribution rate of the NOFRFs is proposed in this paper. The variable weighted coefficients with orders are used to amplify the influence of high-order NOFRFs on the nonlinearity of the system so as to extract its fault characteristics. The new index RI is proposed based on Clenshaw–Curtis quadrature formula to eliminate the effect of artificially selected weighted coefficients on sensitivity. Especially in the early stage of the fault, the new index varies greatly with the deepening of the fault. Both simulation and experimental results verify the validity and practicability of the new index. The new index has certain guiding significance in the detection of mechanical system faults.http://dx.doi.org/10.1155/2019/3524948
spellingShingle Yang Liu
Yulai Zhao
Jintao Li
Fangquan Xi
Shuanghe Yu
Ye Zhang
Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults
Shock and Vibration
title Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults
title_full Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults
title_fullStr Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults
title_full_unstemmed Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults
title_short Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults
title_sort research on fault feature extraction method based on nofrfs and its application in rotor faults
url http://dx.doi.org/10.1155/2019/3524948
work_keys_str_mv AT yangliu researchonfaultfeatureextractionmethodbasedonnofrfsanditsapplicationinrotorfaults
AT yulaizhao researchonfaultfeatureextractionmethodbasedonnofrfsanditsapplicationinrotorfaults
AT jintaoli researchonfaultfeatureextractionmethodbasedonnofrfsanditsapplicationinrotorfaults
AT fangquanxi researchonfaultfeatureextractionmethodbasedonnofrfsanditsapplicationinrotorfaults
AT shuangheyu researchonfaultfeatureextractionmethodbasedonnofrfsanditsapplicationinrotorfaults
AT yezhang researchonfaultfeatureextractionmethodbasedonnofrfsanditsapplicationinrotorfaults