Component Signal Comparison for Precise Functional Behavior Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for examining the functional behavior of technical installation components are imprecise, often relying on arbitrary threshold values and ignoring external influences like environmental and system-dependent factors.
Innovation Solution
A method that compares a component's signal with a reference signal describing average functional behavior of similar components, determining a comparison variable for deviation and calculating its probability of occurrence using a predefinable distribution, allowing for dynamic assessment of functional behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed threshold values are used for component monitoring, then the monitoring method is simple to implement, but the measurement precision and reliability are poor due to arbitrary threshold determination and ignoring external influences
Solution Approach 1:
The patent transforms the static fixed threshold into a dynamic reference signal that adapts to external conditions. The reference signal is generated based on environmental parameters (temperature, humidity) and system-dependent parameters (mileage, operating temperatures of surrounding components), allowing the monitoring system to automatically adjust its assessment criteria according to actual operating conditions, thereby improving measurement precision without significantly increasing implementation complexity
Solution Approach 2:
The patent changes the parameter basis for assessment from arbitrary fixed values to scientifically determined reference values that reflect actual component behavior under specific conditions. By using statistical methods to determine reference signals from historical data and adjusting them based on environmental and system parameters, the system achieves more accurate and reliable functional behavior assessment
2Ease of manufacture
If empirical or arbitrary threshold values are used, then the method is easy to implement, but the reliability of component assessment deteriorates due to lack of consideration for environmental and system-dependent influences
Solution Approach 1:
The patent implements a feedback mechanism where the monitoring system continuously compares the component's actual signal against a dynamic reference signal that incorporates environmental and system-dependent parameters. The reference signal is updated based on historical data and current conditions, creating a closed-loop system that improves reliability by continuously adapting to changing operating conditions rather than relying on static empirical thresholds
Solution Approach 2:
The patent performs preliminary actions by collecting and analyzing historical operational data to establish statistically determined reference signals before actual monitoring begins. This preparatory phase allows the system to learn normal behavior patterns under various conditions, enabling more reliable assessment when actual monitoring occurs without requiring complex real-time calculations
Data Source
Figure 1~2
Figure 3
AI summary
The invention relates to a method for investigating a functional behaviour of a component of a technical installation. In order to specify an improved method for investigating a functional behaviour of a component of a technical installation, according to the invention, in the method, a signal (4) from the component to be investigated and representing the functional behaviour of the component be compared with a reference signal (6), which describes an average functional behaviour of identical components. It is also proposed that, during the comparison, a comparative variable (14) describing the deviation of the signal (4) from the reference signal (6) be determined. In addition, in the method according to the invention, a property of the occurrence of the comparative variable (14) is determined by using a predefinable distribution (30) of a multiplicity of such comparative variables.