Today’s Agriculture vehicles (AgV)s are expected to encompass mainly the three requirements of customers; economy, the use of High technology and reliability. In this manuscript, we investigate the technology solution for efficient health monitoring and diagnostic (HM&D) strategy to maximize the field efficiency and minimize the machine cost. Based on the data captured by various IoT sensors, we demonstrate the facts to shift the HM&D technology from costly sensor to economic microphone based mechanism. The adopted strategy is capable to reduce the bulky data transmission on the internet, and to increase the up-time of AgVs. We experimented on the essential red hot chili peppers system of the AgV’s backbone hydraulic system—the hydraulic filter and pump. The measurement system analysis is adopted to determine the preciseness of data captured near the considered components. The envision of the correlation between the collected data extracts significant information to draw the facts to embrace the future HM&D technology shift. Correlation between the signals captured from costly sensors and Microphone for the generated faults in hydraulic components demonstrates the effectiveness of audio to replace existing HM&D technology.

当今的农用车（AgV）预计将主要满足客户的三个要求；经济，高科技的使用和可靠性。在本文中，我们将研究有效的健康监测和诊断（HM＆D）策略的技术解决方案，以最大程度地提高现场效率并降低机器成本。基于各种物联网传感器捕获的数据，我们演示了将HM＆D技术从昂贵的传感器转变为基于经济麦克风的机制的事实。采用的策略能够减少互联网上的大量数据传输，并增加AgV的正常运行时间。我们在AgV的主液压系统中使用了必不可少的红辣椒系统，即液压过滤器和泵。通过测量系统分析来确定在所考虑的组件附近捕获的数据的准确性。所收集数据之间相关性的构想可提取出重要信息，以得出事实，以适应未来的HM＆D技术转变。从昂贵的传感器和麦克风捕获到的信号之间的相关性（用于液压元件中的故障）证明了音频替代现有HM＆D技术的有效性。