CHMM for tool condition monitoring and remaining useful life prediction

International Journal of Advanced Manufacturing Technology

Volumn 59, Issue 5-8, 2012, Pages 463-471

  Wang, Mei ^a   Wang, Jie ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

CHMM; Gaussian process; Prognostics; Tool condition monitoring

Indexed keywords

CHMM; CONTINUOUS HIDDEN MARKOV MODEL; CUTTING FORCES; ENERGY FEATURE; GAUSSIAN PROCESSES; GAUSSIAN REGRESSION; HIGH SENSITIVITY; INITIAL STATE; MILLING FORCE; MILLING TOOLS; MONITORING SIGNALS; ONLINE DIAGNOSTIC SYSTEMS; PREDICTION MODEL; PROBABILISTIC MODELS; PROBABILITY MODELS; PROGNOSTICS; REAL SITUATION; REMAINING LIFE; REMAINING USEFUL LIFE PREDICTIONS; REMAINING USEFUL LIVES; RESEARCH OBJECT; TEST SAMPLES; TOOL CONDITION MONITORING; TOOL FAILURES; TOOL WEAR; TRAINING SAMPLE; TRANSFER TIME; UNKNOWN STATE; WAVELET PACKET;

FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); HIDDEN MARKOV MODELS; MILLING (MACHINING); REGRESSION ANALYSIS; WEAR OF MATERIALS;

MACHINE TOOLS;

EID: 84867571485     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3536-7     Document Type: Article

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