Fault diagnosis of computer numerical control (cnc)‎ machine using cloud knowledge base and monitoring system

Abstract EN

In the world of manufacturing, numerical control machine occupies a major rôle.

Recent studies on CNC machines aim to rapidly evolve CNC Controller towards smart production and flexible production lines.

As an essential part of system reliabilityanalysis, fault classification analysisiscritical in the aspects of reliability design improvement.

Most original Equipmentmanufactures do not accept the effect of machine reactions on component qualitywhen the equipment fails.

The errorscomingfrom servo parameters for the olute system are indicated by newlyproduced CNC machines.

Alarm information isusedonly for attention, warning, and not for safeguardingworkpiecesagainst direct harm to quality.

This paperaims to develop a faultdiagnosis system of the CNC through monitoring the alarm panel of CNC drivers using a webcam, raspberry pi 3, Optical Character Recognition (OCR) and cloud knowledge base.

By using the proposed diagnostic system, the efficiency, accuracy, speed of development, and maintenance of the CNC controllers are improved.