Sensor Attachment State Detection Using Multi-Band Elastic Waves

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Solution Overview

Problem

Existing sensor attachment methods for nondestructive inspection of structures suffer from inaccurate determination of attachment states due to defective attachment, which can lead to misdiagnosis of structural damage, as they rely on peak frequency analysis that is prone to errors from slight amplitude differences.

Innovation Solution

A sensor attachment state determination system that analyzes intensity information in different frequency bands of detected elastic waves to determine the attachment state, using a signal processor to extract low-frequency and high-frequency components and a determiner to assess the sensor's attachment based on a calculated index value.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If peak frequency analysis is used to determine sensor attachment state, then the determination method is simple, but the determination accuracy deteriorates due to sensitivity to slight amplitude differences

Engineering Contradiction:
Improvedetermination method simplicityVSAvoidattachment state determination accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent transitions from analyzing a single peak frequency parameter to analyzing the distribution characteristics of frequency components across multiple frequency bands. This dimensional expansion from one-dimensional peak frequency to multi-dimensional spectral distribution enables more robust attachment state determination that is not sensitive to slight amplitude variations.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent changes the determination parameter from peak frequency (single value) to the ratio of integrated intensity values across different frequency bands (multi-band spectral distribution). This parameter transformation makes the determination less sensitive to small amplitude fluctuations while maintaining operational simplicity through automated calculation.

Inventive Principle:
Principle #35Parameter changes

2Difficulty of detecting and measuring

If elastic wave amplitude is used to determine attachment state, then the measurement is easy to obtain, but the determination accuracy deteriorates when amplitude is sufficiently large even with poor attachment

Engineering Contradiction:
Improvemeasurement easeVSAvoidattachment state determination accuracy
Core Design Contradiction:
Difficulty of detecting and measuringVSMeasurement precision

Solution Approach 1:

The patent moves from using single amplitude measurement to analyzing the distribution of energy across multiple frequency bands. By examining the spectral composition rather than just overall amplitude, the method can distinguish between strong signals from good attachment and strong signals from poor attachment with different frequency characteristics.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent applies different analysis weights to different frequency bands, recognizing that low-frequency and high-frequency components provide different information about attachment quality. This localized frequency-band analysis allows the system to extract meaningful attachment state information even when total amplitude is large.

Inventive Principle:
Principle #3Local quality

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 accurate determination of sensor attachment states, reducing misdiagnosis by considering the relationship between low-frequency and high-frequency components, thereby improving the reliability of nondestructive inspection results.

Implementation Method 1

an AE method for detecting internal damage of a structure by detecting an elastic wave generated due to damage with a sensor (for example, acoustic emission (AE) sensor) that has high sensitivity

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Data Source

PatentUS20260002801A1Sensor attachment state determination apparatus, sensor attachment state determination system, and sensor attachment state determination method
Publication Date: 2026.01.01 KK TOSHIBA
  • US20260002801A1 patent drawing
  • US20260002801A1 patent drawing
  • US20260002801A1 patent drawing

AI summary

According to one embodiment, a sensor attachment state determination apparatus, a sensor attachment state determination system, and a sensor attachment state determination method capable of determining an attachment state of a sensor with high accuracy. A sensor attachment state determination apparatus of an embodiment includes a signal processor, an index value acquirer, and a determiner. The signal processor is configured to acquire intensity information regarding signal intensities in different frequency bands of an elastic wave detected by one or more sensors configured to detect the elastic wave generated due to an impact applied by an impact applier configured to apply the impact on a structure. The determiner is configured to determine an attachment state of the one or more sensors on a basis of the intensity information acquired by the signal processor.