Lubricating oil conditioning sensors for online machine health monitoring – A review

By Xiaoliang Zhu, Chong Zhong, Jiang Zhe. 2017

306 citations recorded by the source corpus.

Subfields: Bioengineering, Biomedical Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/e0cfec4b8365b6d51e1227f4d5c02106407932e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Mileta M. Tomovic
2. Wei Hong
3. W. Cai
4. Shaoping Wang

In Mechanical Engineering

1. Mileta M. Tomovic
2. Wei Hong
3. W. Cai
4. Shaoping Wang

Citations in the corpus

• Mechanical Wear Debris Feature, Detection, and Diagnosis: A Review (2017, background): “As online debris monitoring is a good way to ensure reliable running and achieve condition-based maintenance, it becomes a hotspot in mechanical fault diagnosis.(75) According to measurement principles, online debris detection can be classified into four types: optical, inductive, resistive-capaciti”