On-line surveillance of a grinding process via a Kullback-Leibler information number

Abstract

The dynamic signals emitted in grinding processes, such as grinding chatter, grinding forces and grinding sounds, can be successfully used for on-line surveillance of a grinding operation. A new criterion called the Kullback-Leibler information number based on time-series analysis and information theory, is suggested to monitor the performance of a wheel and grinder under different working conditions and to prognosticate the remaining wheel life. A computer algorithm for supervision of the grinding cycles is also designed and testified.