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Damage identification using committee of neural networks
Tshilidzi Marwala
University of Cambridge
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peer-review
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Engineering
Measured Data
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Frequency Response Function
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Simulated Data
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Mean Square Error
100%
Cylindrical Shell
100%
Degree of Freedom
50%
Experimental Result
50%
Mode Shape
50%
Natural Mode
50%
Damper System
50%
Natural Frequency
50%
Keyphrases
Wavelet Transform
100%
Fault Type
50%
Damage Cases
50%
Mass-spring System
50%
Shape Transform
50%
Three Degrees of Freedom
50%
Experimental Demonstration
50%