Rolling Bearing Raceway Flaking Progression for Replacement Timing
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Solution Overview
Problem
Existing methods for predicting the remaining lifetime of rolling bearings fail to accurately account for the increase in rolling element load due to flaking on the raceway surface, leading to inaccurate lifetime predictions and inadequate timing for bearing replacement, especially in continuously operating machines.
Innovation Solution
A flaking development analysis method and device that acquires the shape of the flaked portion, calculates the rolling element load at the exit portion, and determines the development speed of flaking, allowing for a precise prediction of the relationship between elapsed time and flaked portion shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bearing replacement is delayed to continue working, then productivity is maintained, but flaking progresses rapidly causing catastrophic failure
Solution Approach 1:
The system performs preliminary detection of flaking and calculates remaining lifetime before catastrophic failure occurs. By predicting the progression of flaking based on current damage state and operating conditions, maintenance can be scheduled in advance, allowing continuous operation up to the predicted failure point while ensuring timely replacement before catastrophic failure.
Solution Approach 2:
The system continuously monitors bearing vibration signals, detects flaking development, and updates remaining lifetime predictions in real-time. This feedback loop allows dynamic adjustment of maintenance timing based on actual flaking progression, enabling optimal balance between continuous operation and reliability maintenance.
2Reliability
If bearing replacement is performed early to ensure reliability, then bearing reliability is maintained, but productivity is reduced due to unnecessary replacement
Solution Approach 1:
The system calculates remaining lifetime in advance based on detected flaking and projected progression. This allows scheduling replacement exactly when needed rather than replacing early, maximizing operational time while ensuring reliability is maintained until the predicted failure point.
Solution Approach 2:
The system transitions from fixed replacement intervals to dynamic remaining lifetime prediction based on actual flaking state and operating conditions. By changing the replacement criterion from time-based to condition-based, the system avoids unnecessary early replacement while ensuring replacement occurs before failure.
3Device complexity
If conventional lifetime prediction methods are used without considering flaking shape, then calculation complexity is reduced, but prediction accuracy deteriorates
Solution Approach 1:
The system incorporates flaking shape parameters (circumferential length, depth) into the lifetime prediction calculation. By adding these geometric parameters to the prediction model, the system achieves higher accuracy in estimating remaining lifetime while maintaining manageable calculation complexity through efficient computational methods.
Solution Approach 2:
The system pre-calculates the relationship between flaking shape parameters and remaining lifetime based on fracture mechanics principles. This preliminary calculation framework allows rapid prediction without complex real-time computation, balancing accuracy with computational efficiency.
Data Source
AI summary
A flaking development analysis method and a flaking development analysis device for a raceway ring of a rolling bearing which make it possible to, after fine flaking occurs, predict a relationship between an elapsed time and a shape of a flaked portion based on a development speed of the flaking, and perform bearing replacement at an appropriate timing.