Rubber sandwich structures (RSSs) are used extensively in mechanical engineering. The aging state detection of such structures is urgently required to avoid disastrous accidents. However, this is still a challenging task owing to the weakness of the rubber layer aging feature information contained in the vibration signal of the RSS and the lack of effective aging feature information extraction techniques. Thus, an aging state detection method for the RSS using synchrosqueezing transform (SST)-assisted feature extraction and a customized detection indicator was proposed in this study. First, the SST was used to decompose the vibration signal of the RSS, and a time-frequency (TF) spectrum with an enhanced aging state feature was obtained. Second, a TF bandpass filter was constructed and used to filter the information unrelated to the aging state feature from the TF spectrum. Subsequently, a hard threshold denoising method was applied to reduce noise in the filtered TF spectrum. Then, the aging state signal was reconstructed using the inverse SST. Finally, a customized detection indicator was constructed and its value was calculated to detect the aging state of the RSS. A thermo-oxidative aging dataset of the RSS from Xi’an Jiaotong University was used to validate the proposed method. The experimental results showed that the proposed method was more effective than other methods.

中文翻译：

---

采用同步挤压变换辅助特征提取和定制检测指标的橡胶夹层结构热氧化老化状态检测

橡胶夹层结构（RSS）广泛应用于机械工程中。迫切需要对此类结构进行老化状态检测，以避免灾难性事故的发生。然而，由于RSS振动信号中包含的橡胶层老化特征信息的弱点以及缺乏有效的老化特征信息提取技术，这仍然是一项具有挑战性的任务。因此，本研究提出了一种使用同步压缩变换（SST）辅助特征提取和定制检测指标的RSS老化状态检测方法。首先，利用SST对RSS的振动信号进行分解，获得具有增强的老化状态特征的时频（TF）谱。其次，构建了TF带通滤波器，用于滤除TF谱中与老化状态特征无关的信息。随后，应用硬阈值去噪方法来降低滤波后的TF频谱中的噪声。然后，使用逆 SST 重建老化状态信号。最后构建了定制的检测指标并计算其值来检测RSS的老化状态。使用西安交通大学的RSS热氧化老化数据集来验证所提出的方法。实验结果表明，该方法比其他方法更有效。