Lubricating oil conditioning sensors for online machine health monitoring–A review
Abstract Analysis of lubricating oil is an effective approach in judging machine's health
condition and providing early warning of machine's failure progression. Many studies from …
condition and providing early warning of machine's failure progression. Many studies from …
Online oil debris monitoring of rotating machinery: A detailed review of more than three decades
J Sun, L Wang, J Li, F Li, J Li, H Lu - Mechanical Systems and Signal …, 2021 - Elsevier
Oil debris monitoring has played an irreplaceable role in ascertaining the health condition of
rotating machinery (eg engine, gearbox). Although many sensing methods for detecting …
rotating machinery (eg engine, gearbox). Although many sensing methods for detecting …
A 3× 3 wear debris sensor array for real time lubricant oil conditioning monitoring using synchronized sampling
X Zhu, L Du, J Zhe - Mechanical Systems and Signal Processing, 2017 - Elsevier
A high throughput wear debris sensor consisting of 3× 3 sensing channels is presented for
real time online lubricant oil conditioning monitoring. Time division multiplexing was applied …
real time online lubricant oil conditioning monitoring. Time division multiplexing was applied …
A high sensitivity wear debris sensor using ferrite cores for online oil condition monitoring
Detecting wear debris and measuring the increasing number of wear debris in lubrication oil
can indicate abnormal machine wear well ahead of machine failure, and thus are …
can indicate abnormal machine wear well ahead of machine failure, and thus are …
Prediction on wear of a spur gearbox by on-line wear debris concentration monitoring
S Feng, B Fan, J Mao, Y **e - Wear, 2015 - Elsevier
The aim of this work is to develop a method for quantifying and predicting gear wear based
on on-line wear monitoring. A model of wear debris concentration has been built based on …
on on-line wear monitoring. A model of wear debris concentration has been built based on …
Sensors and tribological systems: applications for industry 4.0
Purpose The involvement of wear, friction and lubrication in engineering systems and
industrial applications makes it imperative to study the various aspects of tribology in relation …
industrial applications makes it imperative to study the various aspects of tribology in relation …
A wear debris recognition method based on dual-channel electrostatic signal and prominence of cross-correlation function
Y Yin, Q Zhang, L Feng, L Song, Z Wen, Z Yuan… - Tribology …, 2023 - Elsevier
Electrostatic monitoring is a hot technique used for online wear debris detection. This study
presented a recognition method by using a dual-channel electrostatic senor. A signal …
presented a recognition method by using a dual-channel electrostatic senor. A signal …
Spheroidal chip in micromilling
In a manufacturing process, studying the removed material called chip, swarf or debris, is the
key to understand the process. In micro cutting process, the size effect is a dominant factor …
key to understand the process. In micro cutting process, the size effect is a dominant factor …
Improving sensitivity of a micro inductive sensor for wear debris detection with magnetic powder surrounded
L Liu, L Chen, S Wang, Y Yin, D Liu, S Wu, Z Liu, X Pan - Micromachines, 2019 - mdpi.com
The inductive detection of wear debris in lubrication oil is an effective method to monitor the
machine status. As the wear debris is usually micro scale, a micro inductive sensor is always …
machine status. As the wear debris is usually micro scale, a micro inductive sensor is always …
Literature review of machine condition monitoring with oil sensors-Types of sensors and their functions
SH Hong - Tribology and Lubricants, 2020 - koreascience.kr
This paper reviews studies on the types and functions of oil sensors used for machine
condition monitoring. Machine condition monitoring is essential for maintaining the reliability …
condition monitoring. Machine condition monitoring is essential for maintaining the reliability …