Object State Evaluation Using Spectral Section Deviation Analysis
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Solution Overview
Problem
Conventional methods for evaluating the state of an object are limited in their ability to detect deviations in spectral sections, especially when using broadband sensors, and struggle with high-frequency spectral sections with low signal-to-noise ratios, requiring prior selection of relevant spectral sections and failing to fully exploit detection potential.
Innovation Solution
A method that generates spectral excitation values through frequency analysis, relates these values to spectral reference excitation values to determine relative excitation values for each spectral section, allowing for the detection of deviations in individual spectral sections, even if relevant sections are unknown, and includes a state evaluation function to quantify these deviations effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectral sections are pre-selected based on expected deviations, then the evaluation focuses on relevant areas, but the method cannot detect unexpected deviations in other spectral sections
Solution Approach 1:
The spectrum is divided into multiple spectral sections, and the evaluation is performed section by section by relating each spectral excitation value to its corresponding reference value. This segmentation allows comprehensive coverage of all spectral sections without requiring prior selection, enabling detection of deviations in any section while maintaining evaluation precision.
Solution Approach 2:
The method is designed to be universally applicable to all spectral sections without requiring pre-selection based on expected deviations. By evaluating all sections equally through individual relation to reference values, the method can detect both expected and unexpected deviations, making it versatile for various monitoring scenarios.
2Adaptability or versatility
If broadband sensors are used to detect mechanical excitation, then the detection coverage is expanded, but the detection potential is not fully exploited due to inability to analyze individual spectral sections
Solution Approach 1:
The broadband spectral excitation values are segmented into multiple spectral sections, allowing individual analysis of each section. This segmentation enables full exploitation of the broadband sensor's detection potential by examining deviations in each frequency range separately, rather than treating the broadband signal as a whole.
Solution Approach 2:
The method transitions from analyzing the broadband signal in a single aggregate dimension to analyzing it across multiple spectral dimension sections. By relating spectral excitation values to reference values in each spectral section, the method extracts detailed information from the broadband data that would be lost in aggregate analysis.
3Measurement precision
If spectral sections with low signal-to-noise ratio are analyzed individually, then deviations in these sections can be detected independently, but the overall complexity of the evaluation increases
Solution Approach 1:
The evaluation is segmented into independent spectral section analyses, where each section's excitation value is related to its reference value separately. This allows deviations in low signal-to-noise ratio sections to be detected independently without being masked by dominant sections, while the computational complexity is managed through systematic processing of each section.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables universal applicability and early detection of deviations in spectral sections, particularly those with low signal-to-noise ratios, providing a flexible and effective means to assess the state of objects, including wear, lubrication, contamination, and other conditions across various types of machinery and living beings.
Implementation Method 1
generating a plurality of spectral excitation values in dependence on the excitation information by means of a frequency analysis
Data Source
AI summary
A method for evaluating a state of an object is provided. The method includes steps as follows. An excitation information describing a mechanical excitation of the object is obtained. A plurality of spectral excitation values are generated as a function of the excitation information by a frequency analysis, in which each of the spectral excitation values is assigned to one spectral section of a plurality of predetermined spectral sections. A plurality of spectral reference excitation values relating to a reference state of the object are obtained, which are associated with a respective one of the spectral sections. Relative excitation values are determined for at least a part of the spectral sections by relating the spectral excitation value, which is associated with the respective spectral section, to the spectral reference excitation value, which is associated with the respective spectral section.