Workpiece Processing Health Assessment via Virtual Quality Models
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Solution Overview
Problem
It is challenging to obtain a health index for a workpiece processing apparatus in real-time during operation, and existing methods face significant errors due to limited data quantity, making it difficult to assess the apparatus' health state accurately.
Innovation Solution
A health assessment method and apparatus that acquire detection data during operation, using multiple transform models to estimate virtual workpiece and apparatus health indices, and an updating determination module to compare and update these models based on actual data, ensuring accurate and timely health assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If health index is obtained during operation stage, then real-time health assessment is improved, but measurement precision deteriorates due to limited ground truth data
Solution Approach 1:
The patent introduces virtual workpiece quality as an intermediary variable that bridges detection data and apparatus health index. Instead of directly mapping detection data to health index with limited ground truth, the system first estimates virtual workpiece quality from detection data, then uses this virtual quality as input to transform models to obtain health index, effectively mediating the information flow and improving accuracy
Solution Approach 2:
The patent segments the health assessment process into multiple independent transform models: first transform model (detection data to virtual workpiece quality), second transform model (virtual workpiece quality to apparatus health index), and third transform model (detection data to actual workpiece quality). This segmentation allows each model to be trained and optimized independently, improving overall measurement precision
2Measurement precision
If multiple transform models are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent makes the transform models universal by designing them to handle multiple functions: the first transform model processes detection data to generate virtual workpiece quality, the second transform model processes virtual workpiece quality to generate health index, and the third transform model provides actual workpiece quality for comparison. These models can be applied across different workpiece processing apparatus and can process various types of detection data, reducing overall system complexity through reusability
3Measurement precision
If transform models are continuously updated, then measurement precision is improved, but loss of time increases due to model training
Solution Approach 1:
The patent implements periodic action by updating transform models at specific intervals or when certain conditions are met, rather than continuously. The system compares actual workpiece quality with virtual workpiece quality and updates models when discrepancies indicate model degradation, creating a rhythmic update pattern that balances precision improvement with time efficiency
Solution Approach 2:
The patent performs preliminary action by pre-training transform models offline using available ground truth data before deployment. This preliminary training establishes initial model parameters, and subsequent online updates only require fine-tuning with new data, significantly reducing the time required for model updates during operation
Data Source
AI summary
A health assessment method and a health assessment device of a workpiece processing apparatus are disclosed. The health assessment method includes the following steps. Acquire a first sensing data related to the workpiece processing apparatus at an operation stage of the workpiece processing apparatus. Set the first sensing data as a substitution of a first transform model to acquire a virtual workpiece quality. Set the virtual workpiece quality as a substitution of a second transform model to acquire a first virtual apparatus health index.