Condition Assessment System Individualized Baseline Curves
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Solution Overview
Problem
Existing condition assessment systems for fleet equipment often generate false alarm signals due to variations in local environments and maintenance schedules, as they rely on generic parametric baseline curves that may not accurately represent the actual operation of individual units, leading to time-consuming and difficult manual updates.
Innovation Solution
A condition assessment system that automatically generates and maintains individualized baseline parametric curves by sampling data from sensors and fitting curves to the sampled data parameters, allowing for customized baselines that account for specific unit environments and conditions, eliminating the need for manual updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generic parametric baseline curves are used for fleet equipment, then the system can be simplified and easier to operate, but measurement precision deteriorates leading to false alarm signals
Solution Approach 1:
The patent applies local quality by transitioning from generic fleet-wide baseline curves to unit-specific baseline curves. Each equipment unit generates and maintains its own customized parametric baseline curve based on its specific operating conditions, local environment, and maintenance schedule. This allows the system to maintain ease of operation through automated curve generation while achieving high measurement precision by accounting for individual unit characteristics.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the parametric baseline curves based on sampled operational data. The system continuously samples sensor data from each unit and uses curve fitting algorithms to update the baseline parameters, ensuring they reflect current operating conditions. This enables the system to maintain both operational simplicity and measurement accuracy through adaptive parameter adjustment.
2Measurement precision
If manual updates are performed to maintain accuracy of parametric baseline curves, then measurement precision is improved, but loss of time increases due to time-consuming maintenance tasks
Solution Approach 1:
The patent applies self-service by enabling the system to automatically generate and maintain its own baseline parametric curves without requiring manual intervention. The condition assessment device samples sensor data from each unit, performs curve fitting computations, and updates the baseline curves autonomously. This eliminates the time-consuming manual update process while maintaining high measurement precision through continuous automated adaptation to changing operating conditions.
Solution Approach 2:
The patent implements preliminary action by pre-generating unit-specific baseline curves automatically before they are needed for comparison. The system proactively samples operational data and performs curve fitting to establish accurate baselines in advance, so when equipment performance is assessed, precise comparison data is already available without requiring time-consuming manual updates at the moment of assessment.
3Device complexity
If generic baseline curves are used across the fleet, then device complexity is reduced, but reliability deteriorates due to false alarm signals from environmental variations
Solution Approach 1:
The patent applies segmentation by dividing the fleet-wide monitoring system into individual unit-specific monitoring instances. Instead of using a single generic baseline curve for the entire fleet, the system creates separate parametric baseline curves for each equipment unit. This segmentation allows each unit's unique characteristics, local environment, and maintenance schedule to be captured, significantly improving reliability by reducing false alarms while maintaining manageable system complexity through automated processes.
Data Source
AI summary
A condition assessment system for use in monitoring the operation of at least one of a plurality of units included within a fleet of substantially similar units is described. The system includes an input device configured to receive a selection of at least one source of data related to the operation of at least one of the plurality of units. The system also includes at least one sensor associated with the at least one source of data and configured to sense data related to the operation of at least one of the plurality of units. The system also includes a condition assessment device configured to receive data from the at least one sensor, sample data associated with at least one data parameter from the received data, and generate a baseline parametric curve from the data associated with the at least one sampled data parameter.