A Fuzzy Logic-Based Approach for Predictive Maintenance of Grinding Wheels of Automated Grinding Lines

Abstract

The state of grinding wheels of automated grinding lines can be evaluated by monitoring their vibration and temperature, so that a condition-based approach can be used for their maintenance. However, there are some limitations of condition monitoring, which may conduct to some uncertainty or vagueness in accomplishing diagnostics. Within this framework, the aim of this study is the employment of a fuzzy logic for planning the maintenance policy of the grinding wheels of automated grinding lines.