Mitsubishi Electric CR800-D Series, Руководство пользователя

Страница: 58 / 194

Abnormality detection function 56
7. Abnormality detection function
This function detects abnormalities or deterioration of robot reduction gear components early.
Before the robot exhibits behavior that is a sign of an abnormality, the function can detect reduction gear or
encoder abnormalities.
The screen that indicates the score calculated by the abnormality detection function.
The display also includes the current score of the reduction gear including reduction gears, encoder data
abnormality, and encoder communication abnormality.
Log data for 365 days is also displayed.
When the score exceeds the detection level, the reduction gear is assumed to be abnormal and an error
(warning) occurs or that effect is notified by the dedicated output signal. Also, the current status is displayed
as the predictive maintenance message.
(1) Score
Indicates the score of each joint axis. The value is the current value.
(2) Log data
Displays log data of the maximum value of score of each joint axis for the past 365 days.
The indicated value is the maximum value of a day.
• You can specify the display period using the "Display Period" field of the upper part of the
screen. Non target axes are not displayed.
• The color of the graph differs depending on the score.
The color is blue when the latest value of the score is normal. When the value exceeds the
detection level, the color is red (detection level is green).
• For the display range of the horizontal axis of the graph, 1 is displayed on the right end as the
current day and the left side is old data.
If the log data does not exist for the number of display days, the graph is displayed left justified.
1) Start predictive maintenance.
2) Click [Total Score] - [Abnormality Detection] to expand the menu.
3) When you select "Reduction gear", "Encoder - Data Error", or "Encoder - Communication Error",
the current score and log data are displayed. You can specify the display period of log data in the
upper part of the screen.
(3) Predictive maintenance message
Abnormality detection
(2) Log data
(5) Update
(1) Score
(4) Display period
(6) Output CSV