Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Model-based fault diagnosis applied to an SI-Engine
Linköping University, Department of Electrical Engineering, Vehicular Systems.
1996 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A diagnosis procedure is an algorithm to detect and locate (isolate) faulty components in a dynamic process. In 1994 the California Air Resource Board released a regulation, called OBD II, demanding a thorough diagnosis system on board automotive vehicles. These legislative demands indicate that diagnosis will become increasingly important for automotive engines in the next few years.

To achieve diagnosis, redundancy has to be included in the system. This redundancy can be either hardware redundancy or analytical redundancy. Hardware redundancy, e.g. an extra sensor or extra actuator, can be space consuming or expensive. Methods based on analytical redundancy need no extra hardware, the redundancy here is generated from a process model instead. In this thesis, approaches utilizing analytical redundancy is examined.

A literature study is made, surveying a number of approaches to the diagnosis problem. Three approaches, based on both linear and non-linear models, are selected and further analyzed and complete design examples are performed. A mathematical model of an SI-engine is derived to enable simulations of the designed methods.

Place, publisher, year, edition, pages
1996. , p. 85
Series
LiTH-ISY-Ex ; 1679
Keyword [en]
Diagnosis, Analytical redundancy, SI-Engine, FDI, Eigenstructure, Parity equations, Robustness
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-141630OAI: oai:DiVA.org:liu-141630DiVA, id: diva2:1146818
Subject / course
Vehicular Systems
Available from: 2017-10-10 Created: 2017-10-04 Last updated: 2017-10-10Bibliographically approved

Open Access in DiVA

Model-based fault diagnosis applied to an SI-Engine(621 kB)6 downloads
File information
File name FULLTEXT01.pdfFile size 621 kBChecksum SHA-512
f6aee52eadd2cd097d9aaa938d6039f5bf86230ed89f3dbb2b70998d6cd4f641a2d89018594c30c6e3c13e740faaa478eb563c8e87616edceb4ac5a52dea51ae
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Frisk, Erik
By organisation
Vehicular Systems
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 6 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 43 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf