Traditional sensors for mechanical equipment monitoring often face challenges such as high cost, difficult installation and removal, and reliance on power sources. Herein, we introduced a polyvinylidene fluoride (PVDF) nanofiber membrane doped with BaTiO3 for constructing a triboelectric acoustic sensor (PB-TAS), innovatively designed for monitoring and recognizing the working conditions of mechanical equipment. This represents the first application of a triboelectric acoustic sensor for mechanical equipment monitoring. The PB-TAS demonstrates an ultra-broad frequency response range of 20–20,000 Hz, effectively covering the characteristic frequency spectrum (within 2000 Hz) during piston pump operation. It also exhibits extraordinarily sensitivity of 4.40 V Pa−1 at 85 dB, and ultra-high frequency resolution down to 0.1 Hz, enabling precise matching of the piston pump's acoustic characteristic frequencies. Integrated with deep learning techniques, the PB-TAS achieves real-time recognition of 15 distinct working conditions of a piston pump, with an impressive accuracy of 95.2 %. The PB-TAS, boasting exceptional sensitivity and frequency resolution, offers a cost-effective, miniaturized, self-powered, non-contact, and highly accurate solution for intelligent monitoring of hydraulic piston pumps.

中文翻译：

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用于机械设备监测的高灵敏度、高分辨率摩擦电声传感器


用于机械设备监测的传统传感器经常面临成本高、安装和拆卸困难以及依赖电源等挑战。在此，我们介绍了一种掺杂 BaTiO3 的聚偏二氟乙烯 （PVDF） 纳米纤维膜，用于构建摩擦电声传感器 （PB-TAS），该传感器创新设计用于监测和识别机械设备的工作条件。这代表了摩擦电声传感器在机械设备监测中的首次应用。PB-TAS 具有 20–20,000 Hz 的超宽频率响应范围，在活塞泵运行期间有效覆盖了特征频谱（2000 Hz 以内）。它还在 85 dB 时表现出 4.40 V Pa-1 的极高灵敏度，以及低至 0.1 Hz 的超高频分辨率，从而能够精确匹配活塞泵的声学特性频率。PB-TAS 与深度学习技术集成，可实时识别活塞泵的 15 种不同工作条件，准确率高达 95.2%。PB-TAS 拥有卓越的灵敏度和频率分辨率，为液压活塞泵的智能监控提供了一种经济高效、小型化、自供电、非接触式和高精度的解决方案。