• No results found

Predictive Health Monitoring for Aircraft Systems using Decision Trees

N/A
N/A
Protected

Academic year: 2021

Share "Predictive Health Monitoring for Aircraft Systems using Decision Trees"

Copied!
1
0
0

Loading.... (view fulltext now)

Full text

(1)

Department of Management and Engineering

Linköping University

SE-581 83 Linköping

Sweden

M

ike

G

er

de

s

Pred

icti

ve H

ea

lth M

on

ito

rin

g f

or A

irc

ra

ft S

ys

te

ms us

in

g D

ec

isio

n T

re

es

2

014

Linköping Studies in Science and Technology

Licentiate Thesis No. 1655

Predictive Health Monitoring for Aircraft

Systems using Decision Trees

Mike Gerdes

Division of Fluid and Mechatronic Systems Department of Management and Engineering Linköping University

References

Related documents

Keywords: Condition Monitoring, Remaining Useful Life Prediction, Decision Tree, Genetic Algorithm, Fuzzy Decision Tree Evaluation, System Monitoring, Aircraft Health

Luj ie C he n Sust ainability and company perf ormance:Evidence from the manufacturing industry.

specific models that are solved and visualized in 3D. For that reason a 3D atlas of relevant deep brain structures was created. a) Axial and b) coronal view of MRI and DTI

Division of Fluid and Mechatronic Systems Department of Management and Engineering Linköping University, se -581 83 Linköping, Sweden.

The average difference between the American and the Swedish sample means was a high medium value and this fact somewhat highlights the discrepancy between the role of the

The decision tree is tested with the testing sample set. If the perform- ance of the decision tree is below a given limit, then the preprocessing parameters are changed, based on

1480, 2012 Division of Fluid and Mechatronic Systems. Department of Management and Engineering

Linköping Studies in Science and Technology, No 1417, 2011 Division of Fluid and Mechatronic Systems. Department of Management and Engineering