Gear Lubricant Additive Tracking for Early Deterioration Diagnosis
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Solution Overview
Problem
Existing methods for predicting failure in mechanical apparatuses, such as industrial robots, are inaccurate as they rely on detecting abnormal wear through iron powder content in lubricating grease, failing to catch the trend of deterioration before abnormal wear occurs.
Innovation Solution
A deterioration diagnosis apparatus that stores the trend of additive consumption rate in lubricant and determines the period for the consumption rate to reach a threshold, using a linear approximation and functions of motor electric-current instruction values and grease temperature to predict the remaining service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iron powder content in lubricating grease is measured to predict failure, then failure prediction capability is provided, but the prediction accuracy is insufficient because it only detects abnormal wear after it occurs
Solution Approach 1:
Instead of measuring iron powder content to detect abnormal wear after it occurs, the invention inverts the approach by measuring additive consumption rate to detect deterioration trends before abnormal wear occurs. This allows prediction of remaining service life by monitoring how quickly additives are consumed from the lubricant, providing earlier and more accurate failure prediction.
Solution Approach 2:
The invention changes the measurement parameter from iron powder content (which indicates abnormal wear after occurrence) to additive consumption rate (which indicates deterioration trend before abnormal wear). By using linear approximation of the consumption rate trend and relating it to service life, the system achieves more precise prediction of when failure will occur.
2Reliability
If vibration and electric current monitoring is used to detect abnormal conditions, then online monitoring capability is provided, but the monitoring is insufficient because abnormalities are detected only when parts are already near failure
Solution Approach 1:
The invention performs preliminary detection of deterioration trends by monitoring additive consumption rate before abnormal wear occurs. By establishing a baseline consumption rate and detecting deviations from this baseline, the system can schedule preventive maintenance in advance, rather than waiting for vibrations or current abnormalities that indicate near-failure conditions.
Data Source
AI summary
A deterioration diagnosis apparatus is for a mechanical apparatus including a power transmission mechanism that transmits power via a gear. The deterioration diagnosis apparatus includes: a storing unit that stores, in advance, a trend of change along with the operation of the mechanical apparatus, in consumption rate of an additive contained in lubricant used for the gear; and a determination unit that determines the period to be taken for the consumption rate of the additive to reach a predetermined value, based on the trend of change in the consumption rate of the additive.


