Power Equipment Reliability Modeling for Sub-Device Maintenance Planning
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Solution Overview
Problem
Accurately determining the state of sub-devices in power equipment systems is challenging, making it difficult to create optimized asset management plans for replacement cycles and maintenance, which are essential for ensuring reliable operation and efficient maintenance.
Innovation Solution
An asset management method that generates a unique reliability model for power equipment by integrating state data and real-time monitoring data from sub-devices, comparing it with a reference reliability model, and applying a system relationship model to calculate maintenance scenarios and update the reliability model based on maintenance execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a reference reliability model is used for power equipment, then the asset management process is simplified, but the accuracy of reliability assessment deteriorates due to lack of sub-device specific data
Solution Approach 1:
The patent segments the power equipment into multiple sub-devices and creates individual reliability models for each sub-device based on its specific state data and monitoring data. This segmentation allows the system to maintain simplicity at the equipment level while achieving high accuracy at the sub-device level, resolving the contradiction between ease of management and assessment accuracy.
Solution Approach 2:
The patent merges multiple sub-device reliability models into a comprehensive equipment-level reliability model by integrating state data, real-time monitoring data, and historical data from all sub-devices. This merging approach maintains the simplicity of a unified model while incorporating detailed sub-device information, thus achieving both ease of management and high accuracy.
2Measurement precision
If detailed state data and real-time monitoring data from all sub-devices are collected and processed, then the accuracy of reliability model is improved, but the complexity of the asset management system increases
Solution Approach 1:
The system segments the complex data processing task into individual sub-device level operations. Each sub-device has its own reliability model that processes its specific data independently, which simplifies the overall system architecture while maintaining high accuracy through localized detailed analysis.
Solution Approach 2:
The patent introduces an intermediary layer that collects, processes, and integrates data from multiple sub-devices. This intermediary reliability model acts as a mediator between detailed sub-device data and the overall equipment assessment, managing complexity while preserving accuracy through structured data integration.
3Quantity of substance
If a generic maintenance plan is applied to power equipment, then the implementation cost is reduced, but the effectiveness of maintenance deteriorates due to inability to address specific sub-device conditions
Solution Approach 1:
The patent applies local quality by creating customized maintenance plans for each sub-device based on its specific reliability model, state data, and monitoring data. This allows maintenance resources to be allocated precisely where needed, improving effectiveness while controlling costs through targeted rather than blanket maintenance approaches.
Solution Approach 2:
The maintenance plan is made dynamic by continuously updating sub-device reliability models with real-time monitoring data and state data. This dynamic approach allows the maintenance strategy to adapt to changing conditions of each sub-device, optimizing effectiveness while avoiding unnecessary maintenance actions that would increase costs.
Data Source
AI summary
An asset management method for power equipment in accordance with the present invention comprises steps of generating integrity of each sub-device of the power equipment by using state data and real-time monitoring data of the each sub-device; compensating a reference reliability model by the each sub-device and generating a unique reliability model by the each sub-device by comparing reliability of the reference reliability model by the each sub-device and the integrity by the each sub-device; calculating reliability of the power equipment by applying a system relationship model between the power equipment and the each sub-device to which specific weight and failure rate are reflected; deriving, and calculating an estimate of, a maintenance scenario by the each sub-device; and updating the reliability model for the power equipment while updating the unique reliability model by the each sub-device by a predetermined priority and according to execution of maintenance.