In-line oil debris monitor for aircraft engine condition assessment

By J. Miller, D. Kitaljevich. IEEE Aerospace Conference. Proceedings, 2000

176 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/df3dd7f5576865d501fa5da38d78d668e65b97da

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 Electrical and Electronic 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, methodology): “25 Debris monitoring for an F119’s bearing based on a MetalSCAN sensor.(9)”