Apparatus and method for step-wise spindle diagnosis for machining center with different tools loaded

A machining center spindle diagnosis method comprising:

• monitoring a change of a tool in the machining center;
• when the change of the tool is recognized, controlling the machining center to idle the spindle;
• acquiring sensor data from a sensor installed on the machining center during the idling of the spindle;
• inputting the acquired sensor data to a pre-trained tool verifying model to verify suitability of the tool;
• and
• when the tool is verified to be suitable, inputting the acquired sensor data to a pre-trained spindle diagnosing model to diagnose an operating state of the spindle;
• wherein
• the pre-trained tool verifying model is a machine learning model constructed by extracting feature data for machine learning from tool operating data acquired by the sensor and training a neural network,
• the tool operating data includes at least one of vibration data, acceleration data, noise data, temperature data or current data, and
• the feature data is ranked based on feature importance.