ABSTRACT
Summary
Computer-numerical-control (CNC) machines used in automated manufacturing are mechatronic systems. In this chapter, a fault detection method is developed based on a state observer model for a milling machine in a CNC machining center. The CNC machining center is treated as an uncertain linear system. To obtain more information, a robust observer is designed based on the uncertain linear model. Subsequently, this model is used as a state (tool wear) estimator, and fault diagnosis is carried out using two-variable information. The approach can be used for the detection of faults arising from the malfunction of a sensor or an actuator.
