Engine Knock Estimation Using Neural Networks Based on a Real-World Database Darmstadt University of Technology

Format:

Conference/Event

Author/Creator:

Ortmann, Stefan, author.

Conference Name:

International Congress & Exposition (1998-02-23 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1998

Summary:

In this paper we present an advanced knock detection approach. The detection concept consists of a two-level feature extraction step followed by neural network detector. A knock tendency index is estimated that takes into account the statistical behavior of the knock phenomena. The configuration of the neural network is based on a signal database that was acquired under almost on-road' conditions. The experimental set-up consisted of several measurement sessions in a special vehicle test cell. In order to achieve a most realistic knock database the test engine was mounted on an in-production car

Notes:

Vendor supplied data

Publisher Number:

980513

Access Restriction:

Restricted for use by site license