Touch Panel Fault Detection via Event Log Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Faulty touch panels in electronic devices often enter an intermittent failure mode, making it difficult for maintenance technicians to diagnose and repair them, leading to missed opportunities and repeated returns of failing devices.
Innovation Solution
A system and method that extract and analyze a log of touch panel events to identify patterns exceeding threshold counts and percentages, indicating the need for replacement, even if current tests are acceptable, thereby facilitating accurate detection of defective touch panels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional touch panel testing methods are used, then the testing process is simple, but faulty touch panels in intermittent failure mode cannot be accurately detected
Solution Approach 1:
The system performs preliminary actions by extracting and analyzing event logs before the touch panel completely fails. The log extraction captures historical touch panel events and their timestamps, enabling detection of intermittent failures that would be missed by traditional testing performed only when failure is apparent.
Solution Approach 2:
The system implements feedback by continuously monitoring touch panel events, comparing them against threshold criteria, and providing diagnostic information to technicians. The analysis of event frequencies and patterns feeds back into the diagnosis process, enabling accurate identification of faulty panels even when current tests appear normal.
2Reliability
If touch panels are monitored continuously to detect intermittent failures, then detection accuracy improves, but the complexity of the monitoring system increases
Solution Approach 1:
The system extracts only the necessary information from continuous monitoring - specifically event logs containing timestamps and event types. Rather than analyzing all raw sensor data, the system extracts relevant events that indicate touch panel status, reducing complexity while maintaining detection reliability.
Solution Approach 2:
The system changes parameters by transforming raw event data into meaningful metrics such as event frequency, time intervals between events, and patterns of occurrence. These parameter transformations enable reliable detection of intermittent failures through statistical analysis rather than direct observation of failure states.
3Measurement precision
If event logs are analyzed with multiple threshold criteria, then detection precision improves, but the complexity of analysis increases
Solution Approach 1:
The analysis process is segmented into distinct evaluation criteria: total event count thresholds, time-period-specific thresholds, and percentage-based thresholds. Each segment evaluates a specific aspect of touch panel behavior, and the combination of these segmented analyses achieves high detection precision without requiring a single complex analysis algorithm.
Data Source
AI summary
An electronic device having a faulty touch panel may be diagnosed and indicated for repair by extracting a log from the electronic device. The log may include a record of touch panel events indicating active and inactive touch panel events divided into time periods. The log may be analyzed for touch panel events in a given time period. If a total number of touch panel events in a given time period exceeds a threshold count, and if a percentage of touch panel events in that given time period exceeds a threshold percentage, the touch panel may be identified as in need of replacement. Further, if a total number of touch panel events for all time periods exceeds a threshold percentage, the touch panel may be identified as in need of replacement.