CNC Machine Tool Fault Diagnosis Using User Feedback
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Solution Overview
Problem
Current fault diagnosis methods for CNC machine tools are inefficient due to the uncertainty and irregularity of signals, making it difficult to accurately diagnose faults in complex systems.
Innovation Solution
A fault diagnosis method and apparatus that utilizes feedback information from users to adjust the diagnosis policy, allowing for improved accuracy by receiving and responding to user feedback on fault diagnosis results, and updating the fault diagnosis information database with actual fault causes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fault diagnosis methods (fault tree analysis, fault propagation model analysis, case-based reasoning analysis) are used for CNC machine tools, then the diagnosis can be performed systematically, but the diagnosis efficiency is low and accuracy is insufficient due to the uncertainty and irregularity of fault signals
Solution Approach 1:
The patent implements a feedback mechanism where user feedback on fault diagnosis results is collected and used to adjust the diagnosis policy. The system receives feedback indicating whether the diagnosed fault has been cleared, and uses this information to refine future diagnoses, thereby improving both accuracy and efficiency through iterative learning
Solution Approach 2:
The system performs preliminary fault diagnosis using existing diagnosis policies before user intervention. By pre-processing fault symptoms and providing initial diagnosis results, the system reduces the time required for complete fault resolution and enables faster initial response to machine tool failures
2Measurement precision
If the fault diagnosis system collects and processes user feedback to adjust diagnosis policies, then the diagnosis accuracy improves through continuous learning, but the system complexity increases
Solution Approach 1:
The diagnosis policy is made dynamic rather than static. The system automatically adjusts diagnosis policies based on collected user feedback, allowing the diagnosis approach to evolve and adapt to new fault patterns and machine behaviors without requiring complete system redesign
Solution Approach 2:
The system performs self-adjustment of diagnosis policies using feedback information from users. Rather than requiring expert intervention to update the diagnosis system, it automatically learns from outcomes and refines its own diagnosis logic, reducing dependency on external expertise
3Productivity
If the fault diagnosis information database is continuously updated with actual fault causes from user feedback, then the efficiency of diagnosing recurring faults improves, but the time required for data processing and policy adjustment increases
Solution Approach 1:
The system pre-processes and stores fault diagnosis information in a structured database format as feedback is received. By organizing data during the feedback collection phase rather than during query phase, the system minimizes processing time when diagnosing recurring faults
Solution Approach 2:
The system implements periodic updates to the diagnosis policy based on accumulated feedback data. Rather than continuously adjusting policies in real-time, it processes feedback at intervals, balancing the need for up-to-date diagnosis accuracy with the computational overhead of policy adjustment
Data Source
AI summary
In the technical field of industrial automation, a fault diagnosis method and apparatus for a numerical control machine tool are disclosed which can improve the efficiency of diagnosing faults of numerical control machine tools by utilizing feedback information provided by users. In a fault diagnosis method of an embodiment, the fault diagnosis apparatus receives a fault symptom to be diagnosed from a user terminal, diagnoses the fault for the fault symptom to be diagnosed, returns a fault diagnosis result to the user terminal, receives feedback on the fault diagnosis result from the user terminal, and adjusts the diagnosis policy for the fault symptom to be diagnosed according to the fault diagnosis result if the feedback of the user on the fault diagnosis result indicates that the fault has been cleared.