Vehicle Equipment Data Analysis for Intermittent Failure Causes
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Solution Overview
Problem
Conventional methods for analyzing equipment failure causes in vehicles require reproducing failure situations, leading to excessive time, cost, and potential incorrect maintenance, especially when critical components are involved.
Innovation Solution
An equipment numerical data analyzing apparatus that monitors vehicle equipment data, generates data sets for failure and recovery states, calculates influence indicators, and selects failure inducible factors using big data analysis to identify failure causes efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional failure analysis methods are used requiring failure situation reproduction, then accurate failure cause identification is achieved, but excessive time and cost are required
Solution Approach 1:
The system performs preliminary data collection and analysis by continuously monitoring equipment numerical data during normal vehicle operation. Failure state data sets are captured and analyzed before actual failure occurs, enabling proactive identification of potential failure causes without waiting for failure reproduction at service centers.
Solution Approach 2:
The system creates digital copies of failure state data sets by monitoring and recording equipment numerical data when failures occur during vehicle operation. These digital replicas are transmitted to big data servers for analysis, eliminating the need for physical failure situation reproduction and disassembly of interlocked apparatuses.
2Reliability
If entire apparatus replacement is performed for important components, then vehicle reliability is improved, but maintenance cost increases due to incorrect maintenance
Solution Approach 1:
The system enables self-diagnosis by automatically monitoring equipment numerical data, detecting failure states, analyzing failure causes through big data processing, and generating diagnostic results without requiring service center intervention. This accurate self-diagnosis prevents incorrect maintenance decisions and unnecessary component replacements.
3Measurement precision
If disassembly of interlocked apparatuses is performed for failure analysis, then failure cause is identified, but excessive time and cost are necessary
Solution Approach 1:
The system extracts only the necessary equipment numerical data related to failure causes from the complex interlocked apparatuses during normal operation. By monitoring specific equipment data points and transmitting relevant failure state data sets to big data servers, the system avoids the need to disassemble and analyze entire interlocked apparatuses, significantly reducing analysis complexity.
Data Source
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AI summary
A failure cause analyzing system utilizes numerical data of vehicle equipment during vehicle operation and analyzes the equipment numerical data included in running data of the vehicle to select a failure inducible factor, thereby extracting the numerical data of each equipment from the running data of the vehicle even if a failure symptom does not persist and occurs intermittently, and analyzes the equipment numerical data to select the failure inducible factor, so as to reduce the time and the cost necessary for inspecting and repairing the vehicle equipment upon the occurrence of the failure symptom, and to avoid improper or excessive maintenance.