Fault Code Correlation for Automated Maintenance Recommendations
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Solution Overview
Problem
Current maintenance systems face inefficiencies in matching maintenance records with monitoring data due to the lack of automated correlation methods, often requiring manual intervention and subjective query terms, which can lead to missed connections and inconsistent results.
Innovation Solution
A computer-implemented method that analyzes fault code data to identify unique parameters, correlates maintenance records with fault records based on these parameters, and provides automated maintenance recommendations by determining correlation scores within a defined time window.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual intervention is used to match maintenance records with monitoring data, then flexibility in handling complex cases is improved, but productivity and consistency deteriorate due to time-consuming processes and subjective query terms
Solution Approach 1:
The system performs self-service by automatically generating queries and matching maintenance records with monitoring data without requiring manual intervention. The computer system autonomously executes the matching process using stored maintenance data and monitoring data, eliminating the need for human operators to manually create and execute queries.
Solution Approach 2:
The patent replaces the manual mechanical process of query creation and record matching with an automated computer-based system. The system uses computer-generated queries and automated data processing to substitute the manual operations previously performed by human operators, thereby improving efficiency and consistency.
2Adaptability or versatility
If manual query terms are used for correlation, then adaptability to specific cases is improved, but manufacturing precision and measurement precision deteriorate due to inconsistent results
Solution Approach 1:
The system changes the parameter of query generation from manual human input to automated computer-generated queries. This parameter change ensures that the same criteria are consistently applied across all maintenance records, eliminating the variability and subjectivity inherent in manual query term selection while maintaining adaptability through programmable query logic.
Solution Approach 2:
The patent creates a universal system that handles multiple maintenance cases using standardized automated queries. The system is designed to process various types of maintenance records and monitoring data through a unified automated approach, ensuring consistent application of correlation criteria across all cases rather than requiring separate manual queries for each situation.
3Productivity
If automated correlation methods are implemented, then productivity is improved, but device complexity increases due to the need for computer systems and data processing infrastructure
Solution Approach 1:
The patent merges the query generation, data retrieval, and record matching functions into a single integrated automated system. By combining these previously separate manual processes into one computer-based workflow, the system achieves high productivity while managing complexity through consolidation rather than proliferation of separate components.
Solution Approach 2:
The system uses an intermediary computer-based query mechanism to bridge maintenance records and monitoring data. This automated intermediary process eliminates the need for complex manual coordination between different data sources and systems, providing a standardized interface that simplifies the overall system architecture while enabling efficient automated matching.
4Reliability
If frequent manual review of maintenance records is performed, then reliability is improved through thorough verification, but loss of time increases due to repetitive manual tasks
Solution Approach 1:
The system performs preliminary automated verification and correlation of maintenance records with monitoring data before any human review is needed. By pre-processing and validating data through automated queries, the system ensures high reliability is achieved through systematic computer-based verification, eliminating the need for repetitive manual review tasks that consume time.
Data Source
AI summary
Aspects of the present disclosure provide a method and apparatus for maintenance recommendations. Embodiments include receiving data related to a plurality of fault codes. Embodiments include determining, for each respective fault code of the plurality of fault codes, a unique subset of parameters for the respective fault code based on frequencies of the parameters within the plurality of fault codes in the data. Embodiments include receiving a plurality of fault records and a plurality of maintenance records. Embodiments include, for each respective maintenance record of the plurality of maintenance record, identifying one or more candidate fault records of the plurality of fault records and correlating a subset of the one or more candidate fault records with the respective maintenance record based on the unique subset of the parameters for the respective fault code corresponding to each respective candidate fault record of the one or more candidate fault records.