Research on Characteristics of Electrostatic Wear-Site and Oil-Line Sensor with Theoretical and Comprehensive Analysis

Abstract

As a unique monitoring technique, electrostatic monitoring has been proved to be effective on prognostics and health management of tribological system by using electrostatic sensors. Wear-site sensor (WSS) with a flat circle probe and oil-line sensor (OLS) with a ring probe are two typical sensor types for electrostatic monitoring. However, this developing technique has not been applied in actual industry manufacture so far due to the united characteristics on electrostatic sensors. This paper first presents the mathematical models of both WSS and OLS for theoretical simulation. Then a series of contrast analysis on sensor characteristics between WSS and OLS with varied sensor structure parameters are presented. The results show that the distributions of spatial sensitivity for WSS or OLS itself only are similar, while they are quite different between WSS and OLS. Both WSS and OLS are symmetrical and their distributions can be simplified in one phase for further investigations. The theoretical efficiency curves have close relationship between WSS and OLS. The investigations of sensor performances on characteristics and a presented unified three level system have offered a better electrostatic sensor application in future.

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).…”