Fin Machining Condition Monitoring Method Based on Information Fusion
A processing state and machining technology, applied in neural learning methods, digital data information retrieval, measuring devices, etc., can solve the problems of poor accuracy and poor effect of fin machining state monitoring, and improve monitoring accuracy Effect
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[0040] The applicant found that the intelligent agent has autonomy and self-adaptation, and it can realize the unified comprehensive management and fusion decision-making of the performance index data of the fin machining state through the interaction and mutual cooperation with other agents (multi-agent dynamic cooperation). At the same time, it can also quickly reflect the processing status of the finned machine according to the performance index, so adding the intelligent agent can realize the effective monitoring of the processing status of the finned machine.
[0041]At the same time, the applicant found that the BP neural network algorithm can effectively solve the problem of fin machining state information fusion. Therefore, considering that the three-layer BP neural network can realize any complex nonlinear mapping problem, the applicant has designed a combination of wavelet denoising. The three-layer BP neural network algorithm of the technology is used to realize the ...
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