| 吴 涛,熊 新,吴建德,马 军.基于 QH-ITD 和 AMCKD 的滚动轴承故障诊断研究[J].电子测量与仪器学报,2020,34(4):79-89 |
| 基于 QH-ITD 和 AMCKD 的滚动轴承故障诊断研究 |
| Research on fault diagnosis of rolling bearing based on QH-ITD and AMCKD |
| |
| DOI： |
| 中文关键词: 改进的固有时间尺度分解 自适应最大相关峭度解卷积 变步长网络搜索 故障诊断 |
| 英文关键词:improved intrinsic time-scale decomposition adaptive maximum correlated kurtosis decomposition variable step size web
search fault diagnosis |
| 基金项目:国家自然科学基金(51765022,61663017)资助项目 |
|
|
| Author | Institution |
| Wu Tao | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology |
| Xiong Xin | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology |
| Wu Jiande | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology |
| Ma Jun | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology |
|
| 摘要点击次数: 280 |
| 全文下载次数: 915 |
| 中文摘要: |
| 由于滚动轴承早期微弱故障易受噪声影响导致难以对故障进行诊断。 针对原固有时间尺度( ITD)和三次样条插值改
进 ITD 算法的不足以及最大相关峭度解卷积(MCKD)算法的滤波器长度参数选取困难的问题,提出基于四次 Hermite 插值改进
的 ITD(QH-ITD)算法和利用变步长网络搜索参数寻优改进 MCKD(AMCKD)算法。 该方法首先利用 QH-ITD 算法对原滚动轴
承故障信号进行分解运算,然后利用峭度指标和互相关系数筛选相应的分量信号进行重构,再利用 AMCKD 算法中对重构信号
进行降噪处理,最后利用 Teager-Kaiser 能量算子进行解调处理,提取出故障特征信息并判断故障类型。 通过人工模拟的滚动轴
承损伤故障诊断实验和全寿命周期的轴承早期微弱故障诊断实验,验证了所提方法可以有效地对滚动轴承的早期微弱故障进
行诊断识别。 |
| 英文摘要: |
| It is difficult to diagnose the early weak fault of rolling bearing because it is easily affected by noise. In view of the
shortcomings of the original ITD and cubic spline interpolation improved ITD algorithm and the difficulty in selecting the filter length
parameters of the maximum correlation kurtosis decomposition (MCKD) algorithm, an improved ITD (QH-ITD) algorithm based on the
quartic Hermite interpolation and an improved MCKD (AMCKD) algorithm based on variable step length search parameters optimization
are proposed. Firstly, QH-ITD algorithm is used to decompose the fault signal of the original rolling bearing, then the kurtosis index and
the correlation number are used to screen the corresponding component signals for reconstruction, then the AMCKD algorithm is used to
reduce the noise of the reconstructed signal, finally, the Teager-Kaiser energy operator is used for demodulation, the fault characteristic
information is extracted and the fault type is determined. It is verified that the proposed method can effectively diagnose and identify the
early weak fault of the rolling bearing by simulating the damage fault diagnosis experiment and the early weak fault diagnosis experiment
of the bearing with the whole life cycle. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
