Acoustic Emission Demodulator for Real-Time Signal Processing
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Solution Overview
Problem
Conventional acoustic emission measurement and detection systems require high-speed sampling and extensive post-processing, leading to increased complexity and cost, and fail to provide real-time process information without external data acquisition devices or computationally intensive systems, making them challenging in low-power and hazardous environments.
Innovation Solution
The integration of an acoustic emission demodulator apparatus into the acoustic emission sensor or pre-amplifier, which uses amplitude demodulation to convert acoustic emission signals into values representing amplitude or energy within a desired bandwidth, reducing the need for high-speed sampling and enabling real-time data representation through demodulated signal data transmission at a lower rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional acoustic emission measurement systems use high-speed sampling and extensive post-processing, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by performing demodulation processing within the sensor itself before signal transmission. The acoustic emission sensor includes a demodulator that converts high-frequency acoustic emission signals into lower frequency demodulated signals, which then require less complex post-processing and lower sampling rates in external systems, thereby reducing overall device complexity while maintaining measurement precision.
2Measurement precision
If conventional systems use external data acquisition devices and high-speed sampling, then data accuracy is improved, but use of energy increases
Solution Approach 1:
The demodulator performs preliminary signal processing within the sensor, converting high-frequency signals to lower frequency demodulated signals before transmission. This reduces the processing power requirements of external systems since lower frequency signals require lower sampling rates and less computationally intensive analysis, thereby reducing energy consumption while maintaining data accuracy.
3Measurement precision
If conventional systems require extensive post-processing, then measurement precision is improved, but loss of time occurs
Solution Approach 1:
By performing demodulation within the sensor before signal transmission, the system prepares the signal in advance so that external systems receive pre-processed demodulated signals rather than raw high-frequency signals. This reduces the post-processing burden and enables faster real-time analysis of acoustic emission events, improving both measurement precision and reducing time loss.
4Measurement precision
If conventional systems use high-rate digital sampling, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The demodulator converts high-frequency acoustic emission signals into lower frequency demodulated signals within the sensor. This frequency conversion reduces the sampling rate requirements for external data acquisition systems, as lower frequency signals can be accurately captured at lower sampling rates, thereby reducing device complexity while preserving signal fidelity through the demodulation process.
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 allows for the generation of frequency content from continuous acoustic emission sources without high-rate digital sampling, reducing processing power requirements and enabling real-time data representation, thus simplifying the system and reducing costs while maintaining data accuracy.
Implementation Method 1
acoustic emission sensor generates an acoustic emission signal in response to acoustic emissions sensed via a sensing element (e.g., one or more piezoelectric crystals) of the acoustic emission sensor
Implementation Method 2
uses amplitude demodulation to convert acoustic emission signals into values representing amplitude or energy within a desired bandwidth
Data Source
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AI summary
Methods, apparatus, and articles of manufacture are disclosed. An example apparatus includes an acoustic emission sensor including a pre-amplifier to condition an acoustic emission signal based on an acoustic emission source, a demodulator to generate demodulated acoustic emission data based on the acoustic emission signal, and a transmitter to transmit the demodulated acoustic emission data to a data acquisition system.