A hybrid method based on Band Pass Filter and Correlation Algorithm to improve debris sensor capacity

作者：Hong, Wei; Wang, Shaoping^*; Liu, Haokuo; Tomovic, Mileta M.; Chao, Zhang

来源：Mechanical Systems and Signal Processing, 2017, 82: 1-12.

DOI：10.1016/j.ymssp.2015.10.002

• Inductive debris sensor
• Real-time oil monitoring
• Signal processing
• Correlation Algorithm
• Band Pass Filter

The inductive debris detection is an effective method for monitoring mechanical wear, and could be used to prevent serious accidents. However, debris detection during early phase of mechanical wear, when small debris (<100 um) is generated, requires that the sensor has high sensitivity with respect to background noise. In order to detect smaller debris by existing sensors, this paper presents a hybrid method which combines Band Pass Filter and Correlation Algorithm to improve sensor signal-to-noise ratio (SNR). The simulation results indicate that the SNR will be improved at least 2.67 times after signal processing. In other words, this method ensures debris identification when the sensor's SNR is bigger than 3 dB. Thus, smaller debris will be detected in the same SNR. Finally, effectiveness of the proposed method is experimentally validated.

• 出版日期2017-1-1
• 单位北京航空航天大学