Method and Apparatus for Operating a Machine with a Tool

A method for operating a machine with a tool, the method comprising:

• a) capturing at least one operating data point for at least one of the machine and tool;
• b) calculating at least one forecast estimate value from the at least one operating data point based on an machine learning model;
• c) determining an anomaly formed as a discrete-time anomaly value based on the at least one estimate value via a comparison with a predetermined comparison value for the at least one estimate and detection of a match for an estimate comparison;
• d) storing the discrete-time anomaly value in a memory and aggregating a trend in the anomaly value over time to form a smoothed anomaly value;
• e) comparing the smoothed anomaly value with at least one predetermined comparison value for the anomaly and detecting a match for the anomaly comparison;
• and
• f) outputting a control operation to the machine based on the smoothed anomaly value.

An apparatus for optimal operation of a machine with a tool, comprising:

• a sensor module with at least one sensor for capturing at least one operating data point for at least one of the machine and tool;
• an estimate module for calculating at least one forecast estimate value from the at least one operating data point based on a machine learning model;
• an anomaly detection module for determining an anomaly formed as a discrete-time anomaly value based on the at least one estimate value via a comparison with a predetermined comparison value for the at least one estimate and detection of a match for an estimate comparison;
• a storage module for storing the discrete-time anomaly value in a memory, a trend in the anomaly value being aggregated over time to form a smoothed anomaly value;
• a decision module for comparing the smoothed anomaly value with at least one predetermined comparison value for the anomaly and detecting a match for the anomaly comparison;
• and
• an output module for outputting a control operation to the machine based on the smoothed anomaly value.