Failure Knowledge Coupling for Prioritized Maintenance Inspection
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Solution Overview
Problem
The existing maintenance operation assistance systems face a significant burden in creating and updating failure knowledge data, requiring large-scale knowledge extraction and management to maintain consistency, which is inefficient and labor-intensive.
Innovation Solution
A maintenance operation assistance system that utilizes a failure knowledge database with a failure knowledge coupling unit to reconstruct partial failure knowledge data instances, evaluating and adjusting relatedness between them, and an inspection procedure generation unit to present prioritized inspection procedures to maintenance operators, reducing the need for extensive data creation and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If failure knowledge data is created with high coverage and consistency, then diagnosis accuracy is improved, but the burden of creating and updating knowledge data becomes extremely large
Solution Approach 1:
The patent divides the failure knowledge data into multiple instances, each representing a specific failure mode or component. These instances are stored separately in the database and can be independently managed, created, and updated without affecting the entire knowledge base, thus reducing the burden of consistency maintenance while maintaining comprehensive coverage
Solution Approach 2:
The patent introduces a diagnosis assistance system that acts as an intermediary between the failure knowledge database and the maintenance operator. This system automatically retrieves, processes, and presents relevant failure instances based on observed phenomena, eliminating the need for operators to manually navigate and manage the complex knowledge data structure
2Ease of manufacture
If failure knowledge data is created in a distributed manner, then the creation burden is reduced, but the consistency and coverage of the knowledge data deteriorates
Solution Approach 1:
The patent creates a universal failure knowledge database structure where standardized instance formats and relationships can represent multiple failure modes and components. This universal structure allows distributed creation of knowledge instances while ensuring they can be consistently integrated and queried together, maintaining both ease of creation and data consistency
Solution Approach 2:
The diagnosis assistance system provides feedback mechanisms that automatically validate and cross-reference distributed knowledge instances during retrieval and presentation. This ensures that individually created instances maintain consistency with the overall knowledge base without requiring manual coordination during creation or updates
3Loss of information
If comprehensive failure knowledge data is maintained, then diagnosis coverage is improved, but the time and resources required to manage and update the data increases
Solution Approach 1:
The patent pre-structures the failure knowledge database with standardized instance formats, relationships, and indexing mechanisms before actual diagnosis operations. This preliminary organization allows rapid retrieval and presentation of relevant failure instances during maintenance operations, reducing the time required to manage and query comprehensive knowledge data
Solution Approach 2:
The diagnosis assistance system extracts and presents only the specific failure instances relevant to the current observed phenomena, rather than requiring operators to review comprehensive knowledge data. This selective extraction maintains full diagnostic coverage while minimizing the time and resources needed to access and manage the information
Data Source
AI summary
Provided is a maintenance operation assistance system comprising: a failure knowledge database wherein failure knowledge data is recorded; a failure knowledge coupling unit for reconstructing partial failure knowledge data into failure knowledge data; and an inspection procedure generation unit for presenting an inspection procedure using the reconstructed failure knowledge data. The failure knowledge coupling unit evaluates and adjusts the relatedness of nodes among different instances of partial failure knowledge data, and connects the different instances of partial failure knowledge data. On the basis of the reconstructed failure knowledge data, the inspection procedure generation unit sets priorities for when presenting the inspection procedure, and presents the inspection procedure to a diagnostic interface unit in accordance with the priorities.