The Study Of Cutting Vibration Forecast System Based On HMM

Based on the "Application on cutting vibration online monitor and control in Hidden Markov Models"(National Nature Science Fund Project, No: 50375070), the Hidden Markov Models (HMMs) theories and methods are studied, then proposed the application of cutting vibration forecast system by HMM methods and developed the forecast software based on HMM. The details are studied as follows:Chapter one briefly introduced the meanings of studying the forecast in cutting vibration and summarized the present conditions of it, then, analyzed the feasibility to use HMM in cutting vibration's forecast. Finally, given the research substance of this paper basing on this National Nature Science Fund Project, and proposed the total frame and innovations of this paper.Chapter two introduces the basic ideas of Markov Chain theories briefly, and then extends it to Hidden Markov Models through a simple example. Then, studying the theories and algorithms of Hidden Markov Models in detail, and discusses some issues in actual applications and gives corresponsive solution means to them. At last the functions of HMM used in cutting vibration's forecast are given.Chapter three gives a Digital filter method by using the Viterbi algorithm, and discusses the ways of Feature extraction of signals and the Scalar quantization technology of amplitude spectrum vectors. At last brings up the FFT-HMM method to predict the cutting vibration.Chapter four develops the forecast software based on the FFT-HMM theory, introduces the development environment of software system, and development tools and the hybrid method between them. Finally, introduces the functions of this forecast software.