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Measurement and Analysis of Mechanical Vibrations Caused by Corn Head Clutch Slippage

机译:玉米离合器滑动引起的机械振动测量与分析

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Slippage of a corn head row unit is an event that occurs when one or more row units become clogged with foreign materials and a clutch coupling the drive shaft to the row unit is subjected to slipping. The slippage can cause severe mechanical damage to the system and yield loss as the row unit ceases to operate. Since it is difficult for the operator to observe the slip event during harvesting, the development of a system for detecting a slip event is essential to protecting the mechanical integrity of the head. One very possible indication of the event is the mechanical vibration generated by each row unit of the corn head. In order to develop a vibration based monitoring system, preliminary data was collected during normal operation and during slip events to characterize the slip event. A field-programmable gate array (FPGA) based data acquisition system and accelerometers were employed to collect high-frequency vibration data. The sensors were mounted at key locations on individual row units and the endplate of a corn head to determine the most robust location to identify a slip event. The gathered data was transformed using FFT (Fast Fourier transform) to frequency domain, which is information-rich for characterizing vibration signals. Data assessment was conducted using the raw and the FFT-transformed data. The outcome includes the quantification of sensor response in both time and frequency domain and the quantification of variability in the responses. The resulting responses to slip events provided maximized mounting locations to detect an event. Model Based Software Development has been utilized to develop a monitoring algorithm that provides a Boolean response to a slip event on a corn head.
机译:玉米头单元的滑动是当一个或多个行单元被异物堵塞时发生的事件,并且将驱动轴连接到行单元的离合器进行滑动。随着行单位停止运行,滑动可能对系统的严重机械损坏和屈服损失。由于操作者难以在收获期间观察滑动事件,因此用于检测滑移事件的系统的开发对于保护头部的机械完整性是必不可少的。事件的一个非常可能的指示是玉米头的每个行单元产生的机械振动。为了开发基于振动的监控系统,在正常操作期间和滑移事件期间收集初步数据以表征滑移事件。基于现场可编程门阵列(FPGA)的数据采集系统和加速度计收集高频振动数据。传感器安装在单个行单元上的关键位置和玉米头的端板以确定最强大的位置以识别滑动事件。使用FFT(快速傅里叶变换)转换收集的数据到频域,这是用于表征振动信号的信息丰富。使用RAW和FFT转换数据进行数据评估。结果包括在时间和频域中的定量传感器响应以及响应中的变异性的量化。由此产生的滑移事件的响应提供了检测事件的最大化的安装位置。基于模型的软件开发已被利用来开发一种监控算法,该算法为玉米头上的滑动事件提供了布尔响应。

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