Research on Chatter Prediction and Monitor Based on DHMM Pattern Recognition Theory

A new method of chatter prediction based on discrete hidden Markov models (DHMM) is proposed for dynamic patterns of chatter gestation in cutting process. At first FFT features are extracted from the vibration signal of cutting process, then FFT vectors are presorted and coded into code book of inte...

Full description

Saved in:
Bibliographic Details
Main Authors: Jing Kang, Chang-jian Feng, Hong-ying Hu, Qiang Shao
Format: Conference Proceeding
Language:English
Subjects:
Chatter
Discrete Hidden Markov Model (DHMM)
Dynamic Pattern Recognition
Fault diagnosis
Feature extraction
Hidden Markov models
Monitoring
Pattern classification
Pattern recognition
Prediction
Signal processing
Stochastic processes
Vector Quantification
Vibrations
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A new method of chatter prediction based on discrete hidden Markov models (DHMM) is proposed for dynamic patterns of chatter gestation in cutting process. At first FFT features are extracted from the vibration signal of cutting process, then FFT vectors are presorted and coded into code book of integer numbers by SOM, and these code books are introduced to DHMM for machine learning and classification. Finally the results of chatter gestation recognition and chatter prediction experiments are presented and show that the method proposed is effective.
ISSN:2161-8151
2161-816X
DOI:10.1109/ICAL.2007.4338783