Evaluation of Supervised Machine LearningAlgorithms for Detecting Anomalies in Vehicle’s Off-Board Sensor Data

Evaluation of Supervised Machine LearningAlgorithms for Detecting Anomalies in Vehicle’s Off-Board Sensor Data

A diesel particulate filter (DPF) is designed to physically remove diesel particulate matter or soot from the exhaust gas of a diesel engine. Frequently replacing DPF is a waste of resource and waiting for full utilization is risky and very costly, so, what is the optimal time/milage to change DPF?...

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Bibliographic Details
Main Author: Wahab, Nor-Ul
Format: Others
Language:English
Published: Högskolan Dalarna, Mikrodataanalys 2018
Subjects:
Anomaly detection
rule-based
one class support vector machine
k-nearest neighbor
random forest
confusion matrix
accuracy
precision
recall
F1-score
Social Sciences Interdisciplinary
Tvärvetenskapliga studier inom samhällsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:du-28962

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:du-28962

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