Vibration signal analysis using parameterized time-frequency method for features extraction of varying-speed rotary machinery
Vibration signal analysis using parameterized time-frequency method for features extraction of varying-speed rotary machinery
复制标题
使用参数化时频方法进行振动信号分析，提取变速旋转机械的特征
DOI：
10.1016/j.jsv.2014.09.025
复制
发表时间：
2015-01-20
影响因子：
4.7
通讯作者：
Meng, G.
中科院分区：
文献类型：
--
作者：
Yang, Y.;Dong, X. J.;Meng, G.
在真实的应用中，旋转机械经常遇到变速、非稳态载荷和故障时，会产生非平稳的振动信号。这种信号可以用单分量或多分量调频（FM）来表征，其内部瞬时模式与旋转机械的运行状态密切相关。例如，非平稳信号的瞬时频率（IF）和瞬时幅度（IA）是需要检测的两个重要时频特征。在旋转机械振动信号分析中，时频分析（Time Frequency Analysis，TFA）作为一种重要的信号处理工具，可以同时在时域和频域对信号进行分析。特别是参数化的时频分析在研究非平稳信号的时频特征方面显示出巨大的潜力。利用与信号相关的变换参数来改善时频表示的方法越来越受到人们的关注。然而，参数化的TFA从变速旋转机械的非平稳振动信号中提取时频特征时，参数估计和分量分离是两个需要解决的问题。本文提出了一种用参数化TFA分析变速旋转机械非平稳振动信号的方法，它主要包括四个步骤：初始化、变换参数估计、分量分离和参数化TFA以及特征提取。为了验证该方法在分析单分量和多分量信号时的有效性，首先分析了实验室转子在加速和减速过程中的振动响应，然后提取了某水电站水轮机转子在停机阶段的瞬时时频特征。此外，与几种传统的TFAs的结果进行了比较，该方法在准确的特征提取方面优于其他方法，在故障检测、系统状态监测、参数识别等方面具有很好的应用前景。（C）2014 Elsevier Ltd.
In real application, when rotary machinery frequently involves variable-speed, unsteady load and defect, it will produce non-stationary vibration signal. Such signal can be characterized by mono- or multi-component frequency modulation (FM) and its internal instantaneous patterns are closely related to operation condition of the rotary machinery. For example, instantaneous frequency (IF) and instantaneous amplitude (IA) of a non stationary signal are two important time frequency features to be inspected. For vibration signal analysis of the rotary machinery, time frequency analysis (TFA), known for analyzing the signal in the time and frequency domain simultaneously, has been accepted as a key signal processing tool. Particularly, parameterized TFA, among various TFAs, has shown great potential to investigate time frequency features of non stationary signals. It attracts more attention for improving time frequency representation (TFR) with signal dependent transform parameters. However, the parameter estimation and component separation are two problems to tackle with while using the parameterized TFA to extract time frequency features from non stationary vibration signal of varying speed rotary machinery. In this paper, we propose a procedure for the parameterized TFA to analyze the non stationary vibration signal of varying speed rotary machinery It basically includes four steps: initialization, estimation of transform parameter, component separation and parameterized TFA, as well as feature extraction. To demonstrate the effectiveness of the proposed method in analyzing mono- and multi-component signals, it is first used to analyze the vibration response of a laboratory rotor during a speed-up and rundown process, and then extract the instantaneous time-frequency signatures of a hydroturbine rotor in a hydroelectric power station during a shut-down stage. In addition, the results are compared with several traditional TFAs and the proposed method outperforms others in accurate feature extraction, which is promising in applications of fault detection, system condition monitoring, parameter identification, etc. (C) 2014 Elsevier Ltd. All rights reserved.