A Novel Multichannel Inductive Wear Debris Sensor Based on Time Division Multiplexing
A Novel Multichannel Inductive Wear Debris Sensor Based on Time Division Multiplexing
复制标题
基于时分复用的新型多通道感应磨屑传感器
DOI：
10.1109/jsen.2021.3063690
复制
发表时间：
2021-05-01
影响因子：
4.3
通讯作者：
Pan, Xinxiang
中科院分区：
文献类型：
--
作者：
Wu, Sen;Liu, Zhijian;Pan, Xinxiang
电感式磨损磨损传感器已被证明是一种有效的润滑油状态监测和故障诊断装置。然而，电流传感线圈的内径较窄，设计用于高灵敏度，限制了油的吞吐量。为了在不牺牲灵敏度的前提下提高吞吐量，提出了一种基于时分复用的多通道磨损碎片检测方法。只用一个激励信号来激励多个传感线圈。然后，将来自多个传感线圈的信号分别与自行设计的一系列方波组合。结果，在不同的时隙中，峰值波形被方波中的高电平提升。之后，信号的峰值被切断并合并成一个输出信号。然后，我们采用同步采样的方法记录输出信号的峰值。最后从记录的峰值中提取所有传感通道的信号。为了验证该方法的可行性，我们设计了一个采用时分复用的十通道传感器系统。通过准动态和动态试验，证明该传感器能够在不牺牲灵敏度的情况下，同时独立检测不同通道的磨损屑。此外，该方法具有将多个通道集成到一个系统中的潜力，这将有助于实现高通量的实时润滑油检测。
Inductive wear debris sensor has been proved to be an effective device for lubricant oil condition monitoring and fault diagnosis. However, the narrow internal diameter of current sensing coil, designed for high sensitivity, limits the oil throughput. To improve the throughput without sacrificing the sensitivity, a novel multichannel wear debris detection method based on time division multiplexing is presented in this work. Only one excitation signal is used to excite multiple sensing coils. Then, the signals from multiple sensing coils are combined with a serials of square waves separately, which are self-designed specially. As a result, the peak waveforms are lifted in different timeslots by the high-level voltages in squares waves. After that, the peaks of the signals are cut out and combined into one output signal. Then, we used synchronized sampling method to record the peak values of the output signal. The signals for all sensing channels are finally extracted from the recorded peak values. To validate the feasibility of the proposed method, we designed a ten-channel sensor system using time division multiplexing. Through the pseudo-dynamic and dynamic test, it is proved that the sensor could detect wear debris in different channels simultaneously and independently without sacrificing the sensitivity. In addition, the proposed method has the potential to integrate more channels into one system, which would contribute to high throughput real time lubricant oil detection.