Neural-fuzzy fault diagnosis in a marine propulsion shaft system
The back propagation neural network (BPNN) is applied to the fault diagnosis for the propulsive system of a ship in this paper. There exists a typical vibration signal that can be obtained as a training pattern for each type of fault. These typical vibration signals are collected as training data fo...
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Published in | Journal of materials processing technology Vol. 122; no. 1; pp. 12 - 22 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
05.03.2002
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Subjects | |
Online Access | Get full text |
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