Maintenance Work Support for Automated Fault Cause Identification
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Solution Overview
Problem
Existing fault tree analysis systems require skilled operators to identify root causes, leading to inefficiencies and misdiagnosis due to reliance on manual judgment and lack of automation in identifying cause occurrences.
Innovation Solution
A maintenance work support system that separates the identification process into pre-work and collection/inspection, utilizing internal and external status information, and automates the judgment process through machine data and video/image analysis to determine cause occurrences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fault tree analysis is performed using manual judgment by operators, then the system can identify root causes, but skilled operators are required and misdiagnosis occurs
Solution Approach 1:
The system enables self-service by allowing unskilled operators to perform fault tree analysis through automated computer processing. The computer automatically determines cause occurrences based on status information, eliminating the need for operator expertise in judgment while maintaining accurate root cause identification.
Solution Approach 2:
The patent replaces the mechanical system of manual operator judgment with an automated computer-based system. The computer processes status information and automatically determines cause occurrences, substituting human cognitive functions with computational processes to eliminate skill requirements and reduce misdiagnosis.
2Ease of operation
If automated judgment is implemented to eliminate skill requirements, then unskilled workers can perform analysis, but the system complexity increases
Solution Approach 1:
The system segments the fault tree analysis process into distinct automated components: status information acquisition, cause occurrence determination, and result presentation. Each component is handled by the computer system, breaking down the complex judgment process into manageable automated steps that can be executed without human expertise.
Solution Approach 2:
The computer acts as an intermediary between the fault tree analysis system and the operator. It receives status information, processes it through automated determination of cause occurrences, and presents results to the operator, mediating the complex computational tasks while keeping the operator interface simple and skill-independent.
3Productivity
If manual status collection and judgment are used, then the system is simple to operate, but time consumption increases and productivity decreases
Solution Approach 1:
The system performs preliminary action by automatically determining cause occurrences based on pre-acquired status information. The computer is prepared to process status data and identify causes without waiting for manual operator analysis, significantly reducing the time required for maintenance analysis and improving productivity.
Data Source
AI summary
Systems and methods described herein can involve a maintenance work support system for supporting maintenance work on a machine, which includes management of fault information, cause information, information regarding how to identify cause occurrences, and recovery method information, as fault tree information of the machine; acquiring status information of the machine; processing the status information for one or more of external status information or internal status information; determining a method to identify a cause occurrence of the machine from the processed external status information or the internal status information of the machine; executing the method to determine the cause occurrence of the machine; and displaying the fault tree information of the machine, the acquired status information, and the determined cause occurrence for the machine.