Dynamic Diagnostic Test Sequencing for Vehicle Fault Analysis
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Solution Overview
Problem
Existing diagnostic systems rely heavily on the expertise of technical experts for sequencing diagnostic procedures, often lacking complete information on historical outcomes, leading to inefficient and costly diagnostic testing.
Innovation Solution
A computer-implemented method and apparatus that generates optimized diagnostic test plans by determining dependencies and parallel execution of procedures, using a sequencing module to optimize the order of diagnostic tests based on statistical probability information and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If diagnostic procedures are sequenced based on technical expert expertise, then diagnostic accuracy is maintained, but diagnostic time and cost increase due to lack of statistical optimization
Solution Approach 1:
The system collects historical diagnostic outcome data and feeds it back into the sequencing algorithm to continuously optimize the diagnostic procedure sequence. This feedback loop allows the system to learn from past diagnostic cases and adjust the sequencing strategy to minimize time while maintaining accuracy.
Solution Approach 2:
The system changes the parameter of procedure sequencing from static expert-defined sequences to dynamic statistically-optimized sequences. By using statistical probability information and historical data, the system adjusts the sequence parameters based on the specific diagnostic situation, achieving optimal balance between accuracy and time efficiency.
2Productivity
If complete historical outcome information is collected and analyzed, then diagnostic sequencing is optimized, but system complexity increases
Solution Approach 1:
The system introduces a statistical analysis module as an intermediary between raw historical data and the diagnostic sequencing decision. This intermediary processes and summarizes the historical outcome data into statistical probability information, which then guides the sequencing without requiring the full complexity of the raw data to be maintained in the decision-making process.
Solution Approach 2:
The system replaces manual expert judgment with an automated statistical optimization algorithm. This substitution eliminates the need for experts to manually analyze historical data and create sequences, instead using computational methods to automatically generate optimized sequences based on collected data.
3Reliability
If diagnostic procedures are performed in traditional sequential order, then procedure dependencies are respected, but total diagnostic time increases due to inability to parallelize
Solution Approach 1:
The system transforms the static sequential procedure sequence into a dynamic execution plan that can adapt during execution. Based on intermediate results and updated statistical information, the system can dynamically adjust the sequence and identify opportunities for parallel execution of independent procedures, reducing total duration while maintaining correctness.
Solution Approach 2:
The system segments the diagnostic procedure into independent executable units with defined dependencies. This segmentation allows the identification of procedures that can be executed in parallel while respecting dependency constraints, thereby reducing the total diagnostic duration without compromising procedure correctness.
Data Source
AI summary
A diagnostic tool and a computer-implemented method for generating testing and diagnosis procedures for vehicle diagnosis include determining if a first procedure remains to be performed, if a first procedure remains to be performed, then determining whether: there is a second procedure dependent on the first procedure, or the first procedure can run in parallel to the second procedure, if there is a second procedure dependent on the first procedure, then performing the first procedure, if the first procedure can run in parallel to the second procedure, then performing the first procedure, and determining if the second procedure remains to be performed.