Structure Abnormality Detection via Vibration Fidelity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional structure abnormality detection systems are labor-intensive and inefficient, as they rely on contact inspections that cannot quantify abnormalities and require pre-modeled patterns for detection, limiting their ability to identify abnormal parts and detect issues across multiple structures.
Innovation Solution
A system that predicts inspection values at one position based on another position with similar vibration intensity, using a model to evaluate the fidelity of inspection values across multiple positions, allowing for the identification of abnormalities in structures with similar environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional contact inspection methods are used, then inspection can be performed with simple equipment, but inspection efficiency is low and costs increase due to labor-intensive processes
Solution Approach 1:
The patent replaces manual contact inspection methods with an automated vibration-based detection system that uses sensors and signal processing to identify structural abnormalities, thereby improving inspection efficiency while reducing labor intensity
Solution Approach 2:
The system enables structures to be self-diagnosed through vibration analysis, where the structure's own vibrational response to excitation reveals abnormalities without requiring continuous manual inspection
2Measurement precision
If pre-modeled abnormality patterns are required for detection, then detection can be performed with a simple model, but the system cannot identify abnormal parts or detect novel abnormalities
Solution Approach 1:
The patent applies vibration analysis to detect structural abnormalities by measuring the structure's vibrational response to excitation, where changes in vibration characteristics indicate the presence and location of abnormalities without requiring pre-defined patterns
Solution Approach 2:
The system uses feedback from vibration sensor measurements to continuously monitor and identify abnormalities, comparing actual vibrational responses against expected behavior to detect and locate structural issues
3Measurement precision
If inspection is performed on single structures independently, then each structure can be analyzed individually, but inspection efficiency decreases when multiple structures need to be monitored
Solution Approach 1:
The patent merges the analysis of multiple structures by grouping them based on similar vibration characteristics, allowing simultaneous monitoring and comparison of multiple structures to improve inspection throughput while maintaining detection accuracy
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
This approach increases inspection efficiency and reduces costs by enabling the detection of abnormalities across multiple structures, improving the ability to identify and quantify issues in infrastructure without the need for labor-intensive contact inspections.
Implementation Method 1
a vibration sensor that generates first inspection data and second inspection data from vibration of the structure
Data Source
AI summary
A structure abnormality detection system that detects an abnormality of at least one of structures classified into a plurality of groups in which a plurality of factors that may affect behavior of structures are substantially the same includes: means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.


