Gerald M Knapp

US Patent:

55662730, Oct 15, 1996

Filed:

Dec 30, 1993

Appl. No.:

8/176458

Inventors:

Hsin-Hao Huang - Kaohsiung, TW
Gerald M. Knapp - Baton Rouge LA

Assignee:

Caterpillar Inc. - Peoria IL

International Classification:

G06K 962
G06K 900

US Classification:

395 23

Abstract:

The present invention provides a system and method for supervised training of a neural network. A neural network architecture and training method is disclosed that is a modification of an ARTMAP architecture. The modified ARTMAP network is an efficient and robust paradigm which has the unique property of incremental supervised learning. Furthermore, the modified ARTMAP network has the capability of removing undesired knowledge that has previously been learned by the network.

US Patent:

55660924, Oct 15, 1996

Filed:

Dec 30, 1993

Appl. No.:

8/176482

Inventors:

Hsin-Hao Huang - Kaohsiung, TW
Gerald M. Knapp - Baton Rouge LA
Chang-Ching Lin - Tallahassee FL
Julie K. Spoerre - Tallahassee FL

Assignee:

Caterpillar Inc. - Peoria IL

International Classification:

G01B 700

US Classification:

36455102

Abstract:

The invention provides a machine fault diagnostic system to help ensure effective equipment maintenance. The major technique used for fault diagnostics is a fault diagnostic network (FDN) which is based on a modified ARTMAP neural network architecture. A hypothesis and test procedure based on fuzzy logic and physical bearing models is disclosed to operate with the FDN for detecting faults that cannot be recognized by the FDN and for analyzing complex machine conditions. The procedure described herein is able to provide accurate fault diagnosis for both one and multiple-fault conditions. Furthermore, a transputer-based parallel processing technique is used in which the FDN is implemented on a network of four T800-25 transputers.