K. Ramamurthi et Cl. Hough, A HYBRID APPROACH FOR ROBUST DIAGNOSTICS OF CUTTING TOOLS, IEEE transactions on systems, man, and cybernetics, 24(3), 1994, pp. 482-492
Citations number
23
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics","Engineering, Eletrical & Electronic
A new multisensor based hybrid technique has been developed for robust
diagnosis of cutting tools. The technique combines the concepts of pa
ttern classification and real-time knowledge based systems (RTKBS) and
draws upon their strengths; learning facility in the case of pattern
classification and a higher level of reasoning in the case of RTKBS. I
t eliminates some of their major drawbacks: false alarms or delayed/la
ck of diagnosis in case of pattern classification and tedious knowledg
e base generation in case of RTKBS. It utilizes a dynamic distance cla
ssifier, developed upon a new separability criterion and a new definit
ion of robust diagnosis for achieving these benefits. The promise of t
his technique has been proven concretely through an on-line diagnosis
of drill wear. Its suitability for practical implementation is substan
tiated by the use of practical, inexpensive, machine-mounted sensors a
nd low-cost delivery systems.