Cellular Neural Network and Its Application in the Diagnosis of Abnormal Automobile Sound Industrial Technology Center of Okayama prefecture

Format:

Book

Conference/Event

Author/Creator:

Zhang, Zhong, author.

Conference Name:

SAE Powertrain & Fluid Systems Conference & Exhibition (2002-10-21 : San Diego, California, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2002

Summary:

In this paper, a new diagnostic method for abnormal automobile sound using CNN is proposed. The procedure of the method consists of 1) calculating the autoregressive model (AR model) coefficients from the abnormal sound by using the maximum entropy method; 2) constructing the CNN whose memory patterns become standard abnormal sound patterns; 3) making the coefficients obtained as an initial pattern and recalling one from the memory patterns, and then obtaining a diagnosis result. By using the method, the influence of the noise occurring from other normal parts can be avoided and the automobile abnormal sound can be diagnosed. The results obtained demonstrate the advantages of our approach

Notes:

Vendor supplied data

Publisher Number:

2002-01-2810

Access Restriction:

Restricted for use by site license