Bearing diagnostics using image processing methods

Renata Klein; Eyal Masad; Eduard Rudyk; Itai Winkler

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Bearing diagnostics using image processing methods

机译：使用图像处理方法进行轴承诊断

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摘要

In complex machines, the failure signs of an early bearing damage are weak compared to other sources of excitations (e.g. gears, shafts, rotors, etc.). The task of emphasizing the failure signs is complicated by the fact that changes in operating conditions influence vibrations sources and change the frequency and amplitude characteristics of the signal, making it non-stationary. As a result, a joint time-frequency representation is required. Previous vibration based diagnostic techniques focused on either the time domain or the frequency domain. The proposed method suggests a different solution that applies image processing techniques to time-frequency or RPM-order representations (TFR) of the vibration signals in the orders-RPM domain. In the first stage, TFRs of healthy machines are used to create a baseline. The TFRs can be obtained using various methods (Wigner-Ville, wavelets, STFT, etc). In the next stage, the distance TFR between the inspected recording and the baseline is computed. In the third stage, the distance TFR is analyzed using ridge tracking and other image processing algorithms. In the fourth stage, the relations between the detected ridges are compared to the characteristic patterns of the bearing failure modes and the matching ridges are selected. The different stages of analysis: baselines, distance TFR, ridges detection and selection, are illustrated with actual data of damaged bearings.

机译：在复杂的机器中，与其他激励源（例如齿轮，轴，转子等）相比，轴承早期损坏的故障征兆较弱。由于工作条件的变化会影响振动源并改变信号的频率和幅度特性，使信号不稳定，因此强调故障信号的任务变得很复杂。结果，需要联合的时频表示。先前基于振动的诊断技术着重于时域或频域。提出的方法提出了一种不同的解决方案，该解决方案将图像处理技术应用于RPM阶域中振动信号的时频或RPM阶表示（TFR）。在第一阶段，运行状况良好的机器的TFR用于创建基准。可以使用各种方法（Wigner-Ville，小波，STFT等）获得TFR。在下一阶段，计算检查记录与基线之间的距离TFR。在第三阶段，使用岭跟踪和其他图像处理算法分析距离TFR。在第四阶段，将检测到的凸脊之间的关系与轴承失效模式的特征模式进行比较，并选择匹配的凸脊。分析的不同阶段：基线，距离TFR，脊检测和选择，以及损坏轴承的实际数据。

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来源
《Mechanical systems and signal processing》 |2014年第1期|105-113|共9页
作者
Renata Klein; Eyal Masad; Eduard Rudyk; Itai Winkler;
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作者单位

R.K. Diagnostics, Gilon, P.O.B. 101, D.N. Misgav 20103, Israel;

R.K. Diagnostics, Gilon, P.O.B. 101, D.N. Misgav 20103, Israel;

R.K. Diagnostics, Gilon, P.O.B. 101, D.N. Misgav 20103, Israel;

R.K. Diagnostics, Gilon, P.O.B. 101, D.N. Misgav 20103, Israel;

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原文格式 PDF
正文语种 eng
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关键词
Bearing diagnostics; Anomaly detection; Image processing; Distance TFR; Ridge detection;

机译：轴承诊断;异常检测;图像处理;距离TFR;岭检测;

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Bearing diagnostics using image processing methods

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