国外文献 > 1.轴承 > 1. 基础理论与机制 > 动力学与稳定性
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| 标 题： |
A Comparative Study on the Vibration Signal-Based Damage Detection for Rotor-Bearing System in Speed-Up Process: The Feature Extraction Approach
基于振动信号的转子轴承系统在增速过程中的损伤检测比较研究：特征提取方法 |
| 作 者： |
Bong-Suk Kim
Soo-Hun Lee
Jun Ni
Jun-Yeob Song |
| 关键词： |
Feature Extraction [特征提取]
Speed-up Process [ 加速流程]
Rotor-Bearing System [ 转子轴承系统]
Damage Detection [ 损伤检测]
Non-stationary Signal Processing [ 非平稳信号处理] |
| 出版年： |
2006 |
| 文集名： |
Advanced Nondestructive Evaluation I, Part 2
高级无损检测一，第二部分 |
| 会议名： |
1st International Conference on Advanced Nondestructive Evaluation (ANDE 2005)
第一届先进无损检测国际会议（ANDE 2005） |
| 届 次： |
1st |
| 摘 要： |
The goal of system monitoring and diagnostics is to minimize economic losses, to increase stability, to maximize productivity, and to maintain product quality in manufacturing. The feature extraction from the signals acquired in rotating machine is required for performance evaluation, condition monitoring, and fault diagnostics. In this paper, we extracted the distinctive features from vibration signals gathered in rotor-bearing system during acceleration in order to monitor an abnormal condition by using various kinds of signal processing methods such as the Fast Fourier Transform, Short-Time Fourier Transform, Wigner-Ville Distribution, and Discrete Wavelet Transform.
系统监测与诊断的目标是最大限度地减少经济损失，提高系统稳定性，提升生产效率，并确保制造过程中的产品质量。为了进行性能评估、状态监测和故障诊断，需要从旋转机械中采集的信号中提取特征。本文通过加速过程中转子-轴承系统所采集的振动信号，利用快速傅里叶变换、短时傅里叶变换、维格纳- Ville分布以及离散小波变换等多种信号处理方法，提取出具有代表性的特征，以实现对异常工况的监测。 |
| 中文内容为网络AI翻译，专业术语未必准确，仅供参考。 |
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