Wearable Machine Failure Analysis for Faster Troubleshooting
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Solution Overview
Problem
Field maintenance engineers face challenges in efficiently identifying and resolving machine failures due to the time-consuming process of reading repair manuals and the limitations of standard operating procedures, which can lead to incorrect troubleshooting and potential irreversible consequences.
Innovation Solution
A machine failure analyzing system and wearable electronic device that collect machine status data, utilize a machine history database to analyze failure causes, and provide real-time troubleshooting solutions, allowing engineers to quickly and accurately address malfunctions without relying on extensive manual reading or senior engineer assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If engineers read repair and maintenance manuals to diagnose machine failures, then they can find troubleshooting solutions, but the time required to complete troubleshooting increases significantly
Solution Approach 1:
The system pre-collects and stores machine status data, failure causes, and troubleshooting solutions in a database before failures occur. When a failure happens, the system immediately queries and presents relevant solutions based on current machine status, eliminating the need for engineers to search through manuals during urgent troubleshooting situations.
Solution Approach 2:
The patent introduces a wearable device as an intermediary between the engineer and the troubleshooting information. The device receives machine status data, queries the database, and presents filtered troubleshooting solutions directly to the engineer through the wearable interface, acting as a mediator that processes information and delivers only what is needed.
2Ease of operation
If standard operating procedure manuals are provided for machine troubleshooting, then engineers can follow structured procedures, but unknown failure causes from machine assembly defects or part imperfections are not recorded
Solution Approach 1:
The system continuously collects machine status data from sensors and operational logs, comparing actual machine behavior against expected parameters. When deviations are detected that don't match existing troubleshooting patterns, the system logs these new failure modes and adds them to the database, creating a feedback loop that continuously expands the system's knowledge base.
Solution Approach 2:
The system automatically queries the database using current machine status data and generates troubleshooting solutions without requiring manual intervention to search manuals. The wearable device autonomously processes the query, retrieves relevant information, and presents solutions to the engineer, making the system self-serving rather than requiring engineers to actively search for information.
3Reliability
If senior engineers are contacted through communication devices for troubleshooting assistance, then accurate solutions can be provided, but the process is ineffective when senior engineers are unavailable
Solution Approach 1:
The system creates a digital copy of the collective knowledge and experience of senior engineers by storing their troubleshooting solutions, diagnostic logic, and expertise in a database. This digital copy can instantly retrieve and present solutions without requiring the actual senior engineers to be available, effectively copying their problem-solving capabilities into an always-available system.
Data Source
AI summary
A machine failure analyzing system includes a wearable electronic device is for a user to wear, a controlling and processing device provided with a machine history database and a failure causes analyzing unit. When a specific machine is malfunctioning or in a failure status, the controlling and processing device utilizes a machine status data collecting unit to collect machine status data from the specific machine. Subsequently, based on the machine status data, the failure causes analyzing unit is configured to find relative failure causes from the machine history database, thereby generating at least one troubleshooting solution. As such, under instructions of the troubleshooting solution, a field engineer who wears the wearable electronic device can achieve troubleshooting of the specific machine rapidly and precisely, without needing to spend time finding the failure causes.


