Iterative Multi-Step Diagnosis Process for Engine Systems

Hajrudin Efendic; Luigi del Re; Günther Frizberg

Iterative Multi-Step Diagnosis Process for Engine Systems

Hajrudin Efendic
, Luigi del Re
, Günther Frizberg

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

The plausibility of measurements is a key question for many kinds of large complex systems. In this paper we present a method of automatic measurement data plausibility assessment. Even the focus here was put on an automotive engine test bench application, the presented method can cope also with other complex systems with a large number of measurement devices included. The presented method is still in the development phase, thus its performance still did not reach the optimum. But as for the time being the obtained experimental results seams to be quite acceptable.

Original language	English
Title of host publication	SAE world congress 2005
Number of pages	12
Publication status	Published - Apr 2005

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering
206002 Electro-medical engineering
207109 Pollutant emission

Cite this

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title = "Iterative Multi-Step Diagnosis Process for Engine Systems",

abstract = "The plausibility of measurements is a key question for many kinds of large complex systems. In this paper we present a method of automatic measurement data plausibility assessment. Even the focus here was put on an automotive engine test bench application, the presented method can cope also with other complex systems with a large number of measurement devices included. The presented method is still in the development phase, thus its performance still did not reach the optimum. But as for the time being the obtained experimental results seams to be quite acceptable.",

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AU - del Re, Luigi

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AB - The plausibility of measurements is a key question for many kinds of large complex systems. In this paper we present a method of automatic measurement data plausibility assessment. Even the focus here was put on an automotive engine test bench application, the presented method can cope also with other complex systems with a large number of measurement devices included. The presented method is still in the development phase, thus its performance still did not reach the optimum. But as for the time being the obtained experimental results seams to be quite acceptable.

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