Passive wireless strain monitoring of actual tire using capacitance–resistance change and multiple spectral features
Passive wireless strain monitoring of actual tire using capacitance–resistance change and multiple spectral features
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DOI：
10.1016/j.sna.2005.10.029
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发表时间：
2006-02
影响因子：
4.6
通讯作者：
R. Matsuzaki;A. Todoroki
中科院分区：
文献类型：
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作者：
R. Matsuzaki;A. Todoroki
为了提高汽车轮胎和防抱死制动系统的可靠性，对测量轮胎应变的智能轮胎的需求日益增长。然而，像应变计这样的嵌入式传感器的高刚度会导致传感器从轮胎橡胶上脱落。在之前的研究中，作者提出了一种无线应变监测方法，该方法采用矩形轮胎试样作为传感器并带有调谐电路。与轮胎试样相比，实际轮胎在测量到的轮胎内表面应变与轮胎带电容之间存在较大的滞后。由于实际轮胎存在较大的滞回，使得精确测量轮胎应变变得困难。在本研究中，为了精确测量应变，利用传感器输出的多个功率谱特征，用统计方法估计应变。利用峰值功率谱和共振的锐度以及调谐频率作为谱特征进行估计。实验结果表明，该方法对实际子午线轮胎的无源无线应变监测是有效的。
To improve reliability of automobile tires and anti-lock braking system (ABS), intelligent tires that measure strain of tires are increasingly demanded. The high stiffness of an embedded sensor like a strain gage, however, causes debonding of a sensor from tire rubber. In a previous study, the authors proposed a wireless strain monitoring method that adopts a rectangular tire specimen as a sensor with a tuning circuit. Compared to the tire specimen, an actual tire has a large hysteresis between the measured strain of the inner tire surface and the capacitance in a tire belt. The large hysteresis in the actual tire makes it difficult to measure a tire strain precisely. In the present study, to measure the strain precisely, multiple power spectrum features of the sensor output are used to estimate the strain with a statistical method. As the spectral features, a peak power spectrum and a sharpness of the resonance in addition to a tuning frequency are used for the estimating. As a result the experiments demonstrate that the method is effective for the passive wireless strain monitoring of actual radial tires.