噪声与振动控制2025，Vol.45Issue(3)：120-126,7.DOI:10.3969/j.issn.1006-1355.2025.03.019
基于改进FRFT搜索方法的转子碰摩故障诊断
Rotor Rub-impact Fault Diagnosis Based on Improved Search Method of FRFT
摘要
Abstract
Aiming at the difficulty to detect slight rub-impact faults signals of rotor systems,this paper proposed an im-proved fractional Fourier transform search method to achieve accurate detection and classification of the rub-impact faults.Firstly,a new method for determining the optimal order using optimization of the kurtosis in fractional domain was proposed to obtain the fractional domain optimal order and central filter of the vibration signals during rotor rubbing.In addition,based on the determined central filter and the frequency components contained in the vibration signals,the filter range was further determined to obtain more accurate fault features.Moreover,the extracted fractional domain features were combined with support vector machine to construct a rotor rub-impact fault classifier,so as to achieve the early detection and accurate diagnosis of rub-impact faults of the rotor system.Numerical simulation and experimental comparison show that the im-proved search method can significantly improve the accuracy of rub-impact fault diagnosis of rotor systems,which verifies the effectiveness of the proposed method.关键词
故障诊断/碰摩故障/转子系统/分数阶傅里叶变换/分数域谱峭度Key words
fault diagnosis/rub-impact fault/rotor system/FRFT/kurtosis of fractional domain spectrum分类
机械制造引用本文复制引用
王新,孙康爽,胡硕,王乾..基于改进FRFT搜索方法的转子碰摩故障诊断[J].噪声与振动控制,2025,45(3):120-126,7.基金项目
河南省重点研发与推广专项(科技攻关)资助项目(222102220007) （科技攻关）
中国博士后科学基金面上资助项目(2023M730726) （2023M730726）
