Apparatus Condition Indicator Using Parameter Deviation Relevance
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Solution Overview
Problem
Existing analysis apparatuses lack sufficient information about their technical condition, making it difficult to assess their health and the trustworthiness of the measured values they provide.
Innovation Solution
A method that determines a condition indicator by measuring multiple technical parameters using sensors, calculating deviation values relative to reference values, and applying parameter-specific deviation relevance functions to generate a condition indicator, which represents the overall apparatus condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple technical parameters are measured and processed through deviation relevance functions, then the information about apparatus condition is significantly improved, but the device complexity increases due to multiple sensors and processing functions
Solution Approach 1:
The condition monitoring system is segmented into independent parameter-specific deviation relevance functions, each handling a specific technical parameter. This allows the complex task of overall condition assessment to be divided into manageable, modular components that can be processed independently and then aggregated into a comprehensive condition indicator.
Solution Approach 2:
The system employs a universal indicator function that aggregates results from multiple parameter-specific deviation relevance functions. This universal function serves multiple purposes: it synthesizes information from different parameters, normalizes their contributions, and produces a single comprehensive condition indicator that can be used for overall apparatus health assessment.
2Measurement precision
If parameter-specific deviation relevance functions are used to accurately assess condition, then the measurement precision is improved, but the device complexity increases due to multiple different functions
Solution Approach 1:
Each technical parameter is assigned a dedicated parameter-specific deviation relevance function that is optimized for that particular parameter's characteristics and importance. This local quality approach ensures that each parameter is assessed with the appropriate level of precision and relevance weighting, rather than using a one-size-fits-all assessment method.
Solution Approach 2:
The multiple parameter-specific deviation relevance functions are merged through the universal indicator function, which combines their outputs into a single comprehensive condition indicator. This merging process integrates the precise, parameter-specific assessments into a unified view of apparatus condition without losing the benefits of individual parameter optimization.
Data Source
AI summary
A method for determining a condition indicator of an apparatus includes providing an apparatus configured to measure at least two different technical parameters. A respective parameter value is determined for each of the at least two different technical parameters of the apparatus using at least one sensor configured to determine a respective parameter value for each of the at least two different technical parameters. A respective deviation value is determined for each of the parameter values with respect to an associated respective parameter reference value for each of the technical parameters. A respective deviation relevance value is determined from each of the deviation values using a respective parameter-specific deviation relevance function for each of the parameter values, the parameter-specific deviation relevance functions being different from each other. Using an indicator function, a condition indicator is calculated from the determined deviation relevance values. An overall condition of the apparatus is determined using the condition indicator.