Tool condition monitoring using acoustic emission, surface roughness and growing cell structures neural network

Machining Science and Technology

Volumn 16, Issue 4, 2012, Pages 653-676

  Pai, Srinivasa ^a   Nagabhushana, T N ^b   Rao, Raj B K N ^c  

^a NMAM INSTITUTE OF TECHNOLOGY   (India)

^b SRI JAYACHAMARAJENDRA COLLEGE OF ENGINEERING   (India)

^c COMADEM International ^*  (United Kingdom)

Author keywords

acoustic emission; face milling; growing cell structures; Resource Allocation Network; surface roughness; tool condition monitoring

Indexed keywords

CONSTRUCTIVE LEARNING; CONSTRUCTIVE LEARNING ALGORITHM; FACE MILLING; FACE-MILLING OPERATIONS; GROWING CELL STRUCTURES; GROWING CELL STRUCTURES NEURAL NETWORKS; MULTI LAYER PERCEPTRON; MULTI-SENSOR SYSTEMS; RESOURCE ALLOCATION NETWORKS; SUPERVISED NEURAL NETWORKS; TOOL CONDITION MONITORING; TOOL WEAR; TRAINING TIME; WEAR PARAMETERS;

ACOUSTIC EMISSIONS; BACKPROPAGATION ALGORITHMS; LEARNING ALGORITHMS; MACHINE TOOLS; MILLING (MACHINING); NETWORK ARCHITECTURE; RADIAL BASIS FUNCTION NETWORKS; RESOURCE ALLOCATION; SIGNAL PROCESSING; SURFACE ROUGHNESS; WEAR OF MATERIALS;

NEURAL NETWORKS;

EID: 84870882774     PISSN: 10910344     EISSN: 15322483     Source Type: Journal    
DOI: 10.1080/10910344.2012.731954     Document Type: Article

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