@inproceedings{75f5f5aef82d4e788aedddf15bee60e3,
title = "A combined diagnosis system design using model-based and data-driven methods",
abstract = "A hybrid diagnosis system design is proposed that combines model-based and data-driven diagnosis methods for fault isolation. A set of residuals are used to detect if there is a fault in the system and a consistency-based fault isolation algorithm is used to compute all diagnosis candidates that can explain the triggered residuals. To improve fault isolation, diagnosis candidates are ranked by evaluating the residuals using a set of one-class support vector machines trained using data from different faults. The proposed diagnosis system design is evaluated using simulations of a model describing the air-flow in an internal combustion engine.",
keywords = "fault diagnosis, model-based, data-driven, vehicular system",
author = "Daniel Jung and Ng, {Kok Ng} and Erik Frisk and Mattias Krysander",
note = "Not compliant in UIR, but author was not employed by UK HEI at time of submission, so exception set (see 'Other files' for evidence) ; 2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Barcelona, Spain ; Conference date: 17-06-2016",
year = "2016",
month = nov,
day = "10",
doi = "10.1109/SYSTOL.2016.7739747",
language = "English",
isbn = "9781-5090-0657-1",
pages = "177--182",
booktitle = "Unknown Host Publication",
publisher = "IEEE",
address = "United States",
}