A frequency band energy analysis of vibration signals for tool condition monitoring

2009 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2009

Volumn 1, Issue , 2009, Pages 385-388

  Xu, Chuangwen ^a   Liu, Zhe ^a   Luo, Wencui ^a  

^a LANZHOU UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Frequency band energy; Recognition; Tool wear

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHARACTERISTIC VECTORS; CUTTING PARAMETERS; CUTTING VIBRATION; ENERGY PARAMETERS; RBF NETWORK; RECOGNITION; RECOGNITION METHODS; SCIENTIFIC METHOD; TOOL CONDITION MONITORING; TOOL WEAR; VIBRATION SIGNAL; WAVELET PACKET ANALYSIS; WAVELET PACKET TRANSFORMS; WEAR CONDITION;

CONDITION MONITORING; ENERGY MANAGEMENT; FREQUENCY BANDS; MECHATRONICS; NEURAL NETWORKS; PACKET NETWORKS; SIGNAL PROCESSING; VIBRATION ANALYSIS; WEAR OF MATERIALS;

FEATURE EXTRACTION;

EID: 70449360565     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMTMA.2009.80     Document Type: Conference Paper

References (6)

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2. M.A. Mannan, A. Kassim, "Application of image and sound analysis techniques to monitor the condition of cutting tools", The International Journal of Pattren Recognition Letters, 2000, 21(11):969-979.
3. D. E Dimla, "The Correlation of vibration signal features to cutting tool wear in a metal turning operation", The International Journal of Materials Processing Technology, 2002, 19 (10):705-713.
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5. C. W. Xu, H.L. Chen, "Optimizing design of tool interpolating algorithm in NC system", Optical Engineering, 2006.6.138-145.
6. C. W. Xu, H.L. Chen, "State Recognition Technology and Application on Milling Tool Wear", Applied Mechanics and Materials, 2007.8:113-123.