Resources
MELSERVO J5 Predictive Maintenance
Predictive maintenance and operation status is monitored using our unique AI technology, Maisart, and the servo amplifiers detects signs of machine failure .
Ball Screws
Machine diagnosis for ball screws introducing a ball screw machine diagnosis function in this example a high speed high throughput monitor mounter is used sports pretty then head of maintenance based on trend monitoring by estimating vibration and torque of the machine parts
Here's a graph of a monitoring example of friction and vibration characteristics. A failure warning limit is automatically generated based on a statistical algorithms. A warning is output upon signs of failure, enabling you to prepare necessary parts before the Polish crew fails.
Reduce total cost of ownership or TCO with predictive maintenance solutions. Dynamic friction states of the ball screws are sent to the host management pc via cc-link IE TSN reduce TCO by systematically preparing necessary parts
Belts
Introducing the belt machine diagnosis function. In this example, a belt-based automated Warehouse machine is used. Sends a maintenance notification when tension reduction is detected. Here is a diagnostic example of belt tension. Redjunction. Just measured the tension at the first startup. This function will then estimate the tension in real time and notify users of maintenance. Reduce periodic maintenance cost by adjusting the tension. Replacing the belt before the machine fails.
Gears
Introducing the gear machine diagnosis function. In this example, a gear-based converting machine is used. Initially it set a gear ratio and a normal backlash value. The backlash value is periodically estimated with a dedicated tool to detect science of failure. This is a diagnosis example of backlash values. A warning is output upon signs of failure, enabling you to prepare necessary parts before the gears fail.
If you have any questions, please call (855) 737-4716 or fill out our online form.
Ball Screws
Machine diagnosis for ball screws introducing a ball screw machine diagnosis function in this example a high speed high throughput monitor mounter is used sports pretty then head of maintenance based on trend monitoring by estimating vibration and torque of the machine parts
Here's a graph of a monitoring example of friction and vibration characteristics. A failure warning limit is automatically generated based on a statistical algorithms. A warning is output upon signs of failure, enabling you to prepare necessary parts before the Polish crew fails.
Reduce total cost of ownership or TCO with predictive maintenance solutions. Dynamic friction states of the ball screws are sent to the host management pc via cc-link IE TSN reduce TCO by systematically preparing necessary parts
Belts
Introducing the belt machine diagnosis function. In this example, a belt-based automated Warehouse machine is used. Sends a maintenance notification when tension reduction is detected. Here is a diagnostic example of belt tension. Redjunction. Just measured the tension at the first startup. This function will then estimate the tension in real time and notify users of maintenance. Reduce periodic maintenance cost by adjusting the tension. Replacing the belt before the machine fails.
Gears
Introducing the gear machine diagnosis function. In this example, a gear-based converting machine is used. Initially it set a gear ratio and a normal backlash value. The backlash value is periodically estimated with a dedicated tool to detect science of failure. This is a diagnosis example of backlash values. A warning is output upon signs of failure, enabling you to prepare necessary parts before the gears fail.
If you have any questions, please call (855) 737-4716 or fill out our online form.
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