Vehicle Component Fault Scoring for Fleet Maintenance Prioritization
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Solution Overview
Problem
Managing the maintenance and performance of a large fleet of vehicles is challenging due to the difficulty in tracking and prioritizing vehicle component faults across multiple vehicles and depots, which can lead to insufficient vehicles in good repair for revenue service.
Innovation Solution
A vehicle component fault scoring system that tracks faults, compiles attribute values, calculates fault scores based on preset categories, and displays them to users, allowing for quick risk assessment and workflow prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tracking and monitoring of vehicle component faults across multiple vehicles and depots is performed, then comprehensive diagnostic information can be obtained, but the complexity and difficulty of sustaining the diagnostic maintenance and performance log increases significantly
Solution Approach 1:
The patent segments the fleet management system into multiple hierarchical levels (individual vehicles, depots, vehicle types) and breaks down fault tracking into specific component categories. This segmentation allows comprehensive monitoring to be divided into manageable units, reducing the overall complexity while maintaining complete diagnostic information across the entire fleet.
Solution Approach 2:
The patent introduces an intermediary computing system that automatically processes, aggregates, and analyzes fault data from multiple vehicles and depots. This intermediary system handles the complexity of data management, providing comprehensive diagnostic information without requiring manual tracking, thereby reducing the burden on maintenance personnel and systems.
2Loss of information
If comprehensive fault tracking across all vehicles is implemented, then fleet-wide diagnostic information is available, but the time and resources required to assess risk and prioritize workflow increase
Solution Approach 1:
The patent replaces manual mechanical processes of fault tracking and risk assessment with an automated computing system that electronically collects, processes, and analyzes fault data. This substitution eliminates time-consuming manual activities while providing comprehensive fleet-wide diagnostic information, significantly reducing the time required for risk assessment and workflow prioritization.
Solution Approach 2:
The patent implements a feedback mechanism where fault data from vehicles is continuously collected, analyzed, and used to generate actionable insights for maintenance prioritization. The system provides real-time or near-real-time feedback on fleet health status, enabling rapid risk assessment and dynamic workflow adjustment without requiring extensive manual analysis time.
3Measurement precision
If detailed monitoring of each vehicle component is maintained, then complete fault information is available, but the difficulty of managing and prioritizing maintenance across multiple vehicles increases
Solution Approach 1:
The patent merges detailed component-level fault data from multiple vehicles into aggregated views organized by vehicle type, depot, and component category. This merging allows precise fault detection at the component level while simultaneously providing summarized overviews that simplify maintenance management and prioritization across the entire fleet, making it easier to identify trends and allocate resources.
Solution Approach 2:
The patent adds dimensional organization to fault data by categorizing information across multiple dimensions (vehicle type, depot location, component type, fault severity). This multi-dimensional organization transforms complex detailed data into structured information that is easier to navigate and prioritize, allowing maintenance managers to view and manage faults from different perspectives without losing precision.
Data Source
AI summary
A method and an apparatus are provided for providing a vehicle component fault score. Faults that occur on vehicle components in a plurality of vehicles are tracked. One or more sets of attribute values are compiled for the tracked faults. A set of attribute values is collected for each item within one or more preset vehicle categories. A fault score is calculated for each set of the compiled attribute values. A set of one or more items with respective fault scores is displayed based on a preset vehicle category selected by a user.


