A specially-designed electrostatic sensor for the condition monitoring of rolling bearings

Abstract

The electrostatic method is a rapidly growing research field in the monitoring of rotating equipment. This article reports how a specially-designed integrated electrostatic sensor was utilized to monitor the working conditions of rolling bearings. We firstly analyzed the principle and mathematic modeling of inner current noise generated by cable vibration and deformation. To ensure the electrostatic monitoring avoided being affected by cable vibration and deformation, we designed a ring-shaped printed circuit board to integrate the electrostatic electrode and condition unit together, which can be mounted tightly beside the rolling bearings; in this way, the cable connecting the electrode with the condition unit is removed and the distance between the electrode and rollers is shortened. Experiments using this integrated sensor board were conducted to obtain the electrostatic signals of working bearings. Time features were analyzed in detail to show the differences of four working bearings across the whole process. Experimental results show that the proposed integrated electrostatic sensor has a good performance in the electrostatic monitoring of rolling bearings.

Improved Fault Diagnosis of Roller Bearings Using an Equal-Angle Integer-Period Array Convolutional Neural Network

“…Then, a hysteresis voltage comparator circuit is used to transform the periodical voltage waveform into a square wave, which provides the needed key signal. The sampling system used in this article is built based on AD7746, which is the same as that of reference [40]. The system implements uniform angle sampling, as referenced in Figure 6.…”

Research on Electrostatic Monitoring of Tribo-Contacts with Dynamic Adaptive Fusion Method

“…Where knn i (x j ) is the set of neighborhood x j in W i . en the values of k-distance for the samples in S i− 1 will turn into new values equation (10).…”

“…is technique has been proved to be effective for tribological contacts by using electrostatic sensors [10][11][12][13].…”

Compressive sensing-based de-aliasing method for array electrostatic signal

“…In recent years, thanks to breakthroughs in EMT basic research such as electrostatic signal conditioning circuit design (Addabbo et al , 2015), electrostatic sensing characteristics research (Yan et al , 2021) and electrostatic signal process methods (Wang et al , 2013); some researchers have designed a variety of different electrostatic sensors for condition monitoring of aero-engine lubricating oil line, carrying out researches including fault diagnosis of accessory gearbox, rolling bearing fault diagnosis and wear monitoring (Li et al , 2020; Zhang and Wang, 2020), wear site monitoring (Liu et al , 2022a; Liu et al , 2022b) and online oil debris monitoring (Sun et al , 2021). In addition, another group of researchers have carried out research on the fault diagnosis and health monitoring of aero-engine gas path components, including the monitoring of foreign object inhalation in the aero-engine intake (Guo et al , 2022), aero-engine gas path fault diagnosis and exhaust emissions assessment (Jin et al , 2020; Guo et al , 2021a).…”