Cutter wear state recognition and prediction method based on hidden Markov model
A hidden Markov, tool wear technology, applied in character and pattern recognition, prediction, calculation model and other directions, can solve problems such as practical application difficulties, implementation efficiency and accuracy need to be improved, and achieve high accuracy and improve accuracy. , the recognition effect is good
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[0045] In order to further understand the features, technical means, and specific objectives and functions achieved by the present invention, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
[0046] The present invention discloses a tool wear status recognition and prediction method based on hidden Markov model, which is mainly based on the learning and modeling of the response signal data of the tool processing process by the extended and optimized hidden Markov model, learning tool wear degradation mode, and Applied to the online real-time recognition and prediction system of tool wear status. The extended hidden Markov model refers to the introduction of time components into the state transition probability matrix of the traditional hidden Markov model, and the state transition matrix respectively corresponds to the current state duration. At the same time, considering the problem of local op...
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