Basic Specifications; Overview Of Basic Specification Of The Predictive Maintenance Function - Mitsubishi Electric CR800-D Series User Manual

2. Basic specifications

2.1. Overview of basic specification of the predictive maintenance
function
The predictive maintenance function roughly consists of the following three functions.
Information on predictive maintenance by each function can be checked on the Predictive maintenance
screen, status variables, and parameters of RT ToolBox3. The following features are also available.
• Allows predictive maintenance information to be output to the host system of your production line and
collectively managed.
(Compatible with MelfaRXM.ocx and SLMP)
• If you are using a CR800 series Ver.A4 or later robot controller, by enabling this function using the MELFA
Smart Plus card, this function can be used by taking over the previous consumption degree and check
the score log data of abormality detection even during operation of the robot.
(For compatible cards, refer to "1.2 Compatible products , 4) Function extension card".)
Function
Maintenance
1
simulation
Consumption
2 degree calculation
function
Abnormality
3
detection function
Caution
Using the real machine or simulations on RT ToolBox3, this function
estimates the parts replacement time or the recommended maintenance
time when specific motion patterns are repeated.
This can be used for pre-study of maintenance cycles or parts-friendly
operation verification of robots.
(Refer to "9 Maintenance simulation".)
This function calculates the consumption degree [%] of robot components
based on the actual operating status (motor speed, load status, and others),
and displays/notifies the period up to maintenance/inspection or overhaul.
This supports efficient maintenance through notification of maintenance
timing and deciding the maintenance priority order.
<Target parts>
Maintenance parts : Grease, timing belt
Overhaul parts
(Refer to "6 Consumption degree calculation function".)
This function detects abnormalities or deterioration of robot components
early.
Without adding sensors or analysis personal computer, the robot controller
alone can detect abnormalities in reduction gear or the encoder.
Early detection of abnormalities is possible thus downtime can be reduced.
<Target parts>
Encoder, battery, reduction gear including reduction gear
(Refer to "7 Abnormality detection function".)
When using this function by upgrading from a non-compatible controller software
version to a compatible controller software version, the consumption degree during
the period of the non-compatible software version is not added up, thus the result of
consumption degree calculation function cannot be the correct value.
The consumption degree of the robot arm is saved in the robot controller, thus it is
necessary to use the correct combination of the robot arm and robot controller.
To replace the robot arm or robot controller only, perform backup/restore of
predictive maintenance information to migrate the predictive maintenance
information. (For backup/restore, refer to "11.3 Backup and restore".)
Overview
: Reduction gear, bearing, ball screw, ball spline
Basic specifications 17