Acoustic Emission Sensor Noise Cancellation via Reference Signal
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Solution Overview
Problem
Conventional acoustic emission detection systems for structural health monitoring are prone to noise interference, leading to erroneous signal detection due to the susceptibility of weak AE signals to noise, especially in environments with significant noise sources.
Innovation Solution
A detection system comprising multiple first sensors and a second sensor, where the first sensors detect elastic waves and convert them into detection signals, while the second sensor detects noise from the surroundings and converts it into a reference signal, allowing for the calculation of difference detection signals to cancel out noise components, thereby improving signal accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high degree of amplification is used to increase the signal level of the AE signal, then the signal level is improved, but the susceptibility to noises increases
Solution Approach 1:
The patent applies noise cancellation technology that converts the harmful noise effect into a beneficial filtering mechanism. By using a reference signal from a second sensor to cancel out noise components in the AE signal, the system transforms the problem of noise susceptibility into a solution where noise is actively removed, allowing high amplification to be used without proportionally increasing noise impact
Solution Approach 2:
The patent introduces a reference signal as an intermediary element that mediates between the AE signal and noise. The second sensor captures noise as a reference signal, which is then used to cancel noise components in the amplified AE signal through signal processing, enabling the system to handle high amplification while maintaining signal quality
2Object-affected harmful factors
If noise cancellation is implemented using a second sensor, then noise resistance is improved, but the device complexity increases
Solution Approach 1:
The patent segments the detection function into two specialized sensors: a first sensor dedicated to detecting AE signals and a second sensor dedicated to detecting noise as reference signals. This segmentation allows each sensor to be optimized for its specific function, with the first sensor focusing on structural health monitoring and the second sensor providing noise characterization, thereby improving noise resistance through functional specialization
Solution Approach 2:
The patent uses the second sensor to create a copy of the noise environment that affects the first sensor. This reference signal copy is then processed to cancel out corresponding noise components in the AE signal, providing an efficient noise rejection mechanism that avoids the need for complex filtering algorithms or post-processing techniques
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
The system effectively cancels noise and enhances the accuracy of elastic wave detection, allowing for precise localization of the signal source, reducing erroneous determinations and improving the reliability of structural health monitoring.
Implementation Method 1
Each of the first sensors is configured to detect an elastic wave generated from a structure, and convert the elastic wave into a detection signal
Implementation Method 2
The second sensor is configured to detect a noise propagating from surroundings, and convert the noise into a reference signal
Data Source
AI summary
According to an embodiment, a detection system includes a plurality of first sensors, a second sensor, a first calculator, and a second calculator. Each of the first sensors is configured to detect an elastic wave generated from a structure, and convert the elastic wave into a detection signal. The second sensor is configured to detect a noise propagating from surroundings, and convert the noise into a reference signal. The first calculator is configured to calculate a plurality of difference detection signals based on the respective detection signals and the reference signal. The second calculator is configured to calculate a position of a generation source of the elastic wave from the plurality of difference detection signals.