Manufacturing efficiency optimization platform and tool condition monitoring and prediction method

A manufacturing efficiency optimization platform with tool condition monitoring method comprising:

• obtaining sensor data and control data from a production machine by a service box;
• sending the sensor data and the control data by the service box to a cloud server;
• filtering the sensor data and the control data;
• performing an averaging process on filtered data;
• selecting a segment from results of the averaging process;
• extracting features from the segment;
• performing a health assessment;
• and
• determining a health assessment value of condition of a tool on the production machine.

A manufacturing efficiency optimization platform with tool condition monitoring method comprising:

• obtaining vibration data, power consumption data, and control data from sensors on a production machine by a service box;
• sending the vibration data, power consumption data, and control data by the service box to a cloud server;
• filtering the vibration data, power consumption data, and control data;
• performing an averaging process on filtered data;
• selecting a segment from results of the averaging process, the segment comprising when a tool on the production machine contacts a workpiece;
• extracting features from the segment;
• performing a health assessment;
• determining a health assessment value of condition of the tool on the production machine;
• and
• replacing the tool when the health assessment value reaches a predetermined value.