Vehicle Failure Cause Analysis Using Production and Utilization Data
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Solution Overview
Problem
The increasing complexity of vehicle components and systems makes it challenging to identify and promptly eliminate the causes of failures in vehicles.
Innovation Solution
A computer-implemented method that compares manufacturing and utilization data of a faulty vehicle with those of reference vehicles to determine the cause of failure, using production data, utilization data, and fault reports to identify deviations and associate them with potential failure causes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the complexity of vehicle structure and components is increased to improve user comfort, then user comfort is improved, but the difficulty of identifying and eliminating failure causes increases
Solution Approach 1:
The patent segments the failure analysis process into distinct phases: data collection from multiple sources (sensors, manufacturing records, maintenance logs), data processing and correlation, and failure cause identification. This segmentation allows the complex system to be analyzed in manageable parts, resolving the contradiction between system complexity and ease of failure identification.
Solution Approach 2:
The patent introduces an intermediary computer system that acts as a mediator between the complex vehicle system and the user. This intermediary automatically collects, processes, and analyzes data from various vehicle components, translating complex technical data into actionable failure cause information, thereby resolving the contradiction between system complexity and ease of operation.
2Loss of time
If traditional failure analysis methods are used, then implementation is simple, but failure causes cannot be identified in good time
Solution Approach 1:
The patent implements preliminary action by collecting and storing manufacturing data, operational data, and maintenance data in advance during vehicle production and operation. This pre-collected data is then readily available for rapid failure analysis when issues arise, significantly reducing failure identification time without requiring complex real-time processing during the actual failure event.
Solution Approach 2:
The patent establishes a feedback mechanism where failure analysis results are fed back into the system to improve future diagnostics. The computer system continuously learns from analyzed failures and refines its diagnostic algorithms, creating a self-improving system that reduces both time and complexity for subsequent failure identifications.
Data Source
AI summary
A computer-implemented method for determining a cause of a failure for a fault in a manufactured vehicle includes comparing utilization data with production data pertaining to the manufactured vehicle, where at least one measured value of the utilization data is compared with a specified permitted range of the production data. If the measured value is outside the specified permitted range a fault report is determined and is associated with the manufactured vehicle. The production data, the utilization data, and the fault report associated with the manufactured vehicle are compared with production data, utilization data, and fault reports pertaining to reference vehicles, where each fault report pertaining to a reference vehicle is associated with a cause of failure, and a failure cause is determined with reference to the comparison. A system and computer program product are also disclosed.