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Abstract: The vibration signals of the diesel engine are
reconstructed in the phase space. Then the combination of neural
networks to vibration signals approximation and time series prediction
are applied. It is a two-stage system. The first stage contains two NN
predictions, a multi-layer feed for work NN and functional link NN. They
are trained by fuzzy back propagations algorithm. The second stage
consists of a combination module to mix the two individual prediction
proved in the first stage. It is trained by Karmarkar’s linear
programming algorithm .It is proved available in the example.
Key words: Diesel engine Vibration signal Neural networks Prediction
Fuzzy back propagation Linear programming
CLC No: TK428
Received 20010320,
received in revised form 20010720
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