Mathematical Model, Simulation, and Experimental Calibration of Electrostatic Wear-Site Sensor

Ruochen, L. I. U.; Zuo, Hongfu

doi:10.1109/jsen.2017.2676809

Cited by 14 publications

(8 citation statements)

References 24 publications

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“…the projection of inducing charge to the origin O). Then according to the reference [27], the probe induced charge Q OL can be calculated through Coulomb's law with Gauss theorem to get its modified following equation:…”

Section: Model Of Electrostatic Wss and Olsmentioning

confidence: 99%

“…Then, it was further developed from gas path to the tribo-contracts [18][19][20][21]. After a series of experimental works on sliding rolling and bearing wear systems, it has been demonstrated that this novel technique has considerable advantages in condition monitoring of tribological systems with its high sensitivity and resolution [22][23][24][25][26][27][28][29][30][31][32]. Unlike monitoring the traditional secondary effects such as temperature and vibration, electrostatic sensing technique is considered as a direct measurement for friction and wear.…”

Section: Introductionmentioning

confidence: 99%

“…Harvey [22] used a method to detect charges with an oil droplet rig, while Morris [11] proposed the unique sensor efficiency along with its field of view for electrostatic sensors by the detection of multiple charged steel balls. Liu [26,27] introduced a mathematical model for OLS and further established a model for WSS based on charging principles with analysis through both simulation and experiments. Mao [26][27][28][29] developed a new debris recognition method for OLS and verified in a gearbox test.…”

Section: Introductionmentioning

confidence: 99%

“…Liu [26,27] introduced a mathematical model for OLS and further established a model for WSS based on charging principles with analysis through both simulation and experiments. Mao [26][27][28][29] developed a new debris recognition method for OLS and verified in a gearbox test.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Model Of Electrostatic Wss and Olsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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“…There are a lot of parameters that can influence the results (Du and Zhang 2016;Nouri et al 2016;Ruochen and Hongfu 2017). The main issue in this case is the necessity to adopt a large number of assumptions and approximations, e.g.…”

Section: Introductionmentioning

confidence: 99%

ECMS 2019 Proceedings edited by Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco

2019

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The 33rd edition of the ECMS conference, a widely consolidated interdisciplinary forum for simulation and modeling researchers and practitioners that keeps its reference position year after year, brings with it two novelties: a new name and a new form of publication. In fact, to better catch in the name the actual situation of participants, the European Council for Modelling and Simulation decided to rename the event as "ECMS International Conference on Modelling and Simulation". This year, we also start a new book series of annual volumes, namely "Communications of the ECMS", which replaces the name "Proceedings" in order to acknowledge the recognition and reputation of the scientific community of simulation. This year the chosen conference venue is in Caserta, Italy. The Università degli Studi della Campania "Luigi Vanvitelli", previously known as Seconda Università degli Studi di Napoli, a state-owned university founded in 1990 with the explicit mission of meeting the cultural demand of the population living in the northern part of Campania. Caserta, famous for its wonderful royal palace, whose facilities will host the conference, is a city with a long history, already inhabited in the 5th century BC. It flourished in the middle age and then in the XVI-XVII century AD, surrounded by a geographical area rich of historical relevance that was under Roman influence.The university is characterized by its diffusion over the territory of the province of Caserta, having its 16 departments located in Caserta, Aversa and Santa Maria Capua Vetere, and Napoli, in which its roots can be found: the most of the departments are located in historical landmarks, that have been saved and recovered by specific agreements and funding. More than 25000 students from Italy and abroad study at Vanvitelli University enrolled in bachelor, master and PhD. curricula, taught as well in Italian as in English, and covering different aspects of mathematics, physics, data analytics, engineering, law, economics, political sciences, medicine, nursery, biotechnology, pharmacy, environmental sciences, cultural heritage, literature, psychology, tourism, design and architecture.We are honored to offer, besides the scientific program of the conference, consisting in more than 65 high quality accepted papers, a rich and various series of social events, as usual for the spirit of this conference.

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High-sensitivity distinguishing and detection method for wear debris in oil of marine machinery

Shi

Zhang

et al. 2020

Ocean Engineering

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Mathematical Model, Simulation, and Experimental Calibration of Electrostatic Wear-Site Sensor

Cited by 14 publications

References 24 publications

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

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

ECMS 2019 Proceedings edited by Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco

High-sensitivity distinguishing and detection method for wear debris in oil of marine machinery

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