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FANUC introduces ML Tool for Predictive Maintenance

The software uses AI to predict possible failures of the drive systems in FANUC spindle motors and servo motors.

FANUC, a leading global automation solutions provider, introduced the latest Industrial Internet of Things (IIOT) software, AI Servo Monitor, developed to prevent production problems before their occurrence. The software uses AI to predict possible failures of the drive systems in FANUC spindle motors and servo motors.

AI Servo Monitor, along with MT-LINKi and machine learning, analyzes the everyday performance of machines with FANUC CNCs. Daily data is depicted in intuitive graphs, enabling users to track abnormalities on these machines efficiently. 

The AI automatically creates a baseline model of the machine running in its normal state. An anomaly score developed in the process expresses a difference in the daily recorded values and the baseline model. 

Read More: Shell Scales AI Predictive Maintenance To 10,000 Pieces Of Equipment Using C3 AI

Users can easily view the anomaly scores in a graph on a web interface. Also, email notifications can be sent if the value exceeds the predefined thresholds.

According to Jon Heddleson, General Manager of Factory Automation for FANUC America, IIOT software detects a failure before it happens, not after. He added that predictive maintenance is crucial in preventing unexpected downtime. FANUC’s AI Servo Monitor ensures that production keeps running without any problems.

MT-Linki is data collection software and machine status monitoring of FANUC that connects shop floor equipment, including robots, machine tools, and PLCs. MT-Linki collects, monitors, and presents data in color-coded graphical illustrations of the factory floor. The graphs provide more information about manufacturing processes and historical data. 

Data presented in MT-Linki facilitates data-driven business decisions to enhance operations through advanced maintenance capabilities such as scheduling memory backups and presenting alarm/operator history. It also monitors the status of memory backup batteries, cooling fans, motor temperatures, etc.

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Sahil Pawar
Sahil Pawar
I am a graduate with a bachelor's degree in statistics, mathematics, and physics. I have been working as a content writer for almost 3 years and have written for a plethora of domains. Besides, I have a vested interest in fashion and music.


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