17969428. MULTI-FREQUENCY SENSING SYSTEM AND METHOD simplified abstract (GENERAL ELECTRIC COMPANY)
Contents
MULTI-FREQUENCY SENSING SYSTEM AND METHOD
Organization Name
Inventor(s)
Radislav Alexandrovich Potyrailo of Niskayuna NY (US)
Shiyao Shan of Clifton Park NY (US)
MULTI-FREQUENCY SENSING SYSTEM AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 17969428 titled 'MULTI-FREQUENCY SENSING SYSTEM AND METHOD
Simplified Explanation: The patent application describes a sensor system that improves measurement accuracy by reducing noise and baseline drift through analyzing response signals from sensor elements.
- The sensor system processes response signals from sensor elements to enhance measurement accuracy.
- Different excitation frequencies are used to stimulate the sensor element and generate response signals.
- The system includes storage and processing circuitry to analyze response signals and generate correction values.
- Correction values are used to reduce noise and baseline drift in the response signals, improving overall accuracy.
Key Features and Innovation:
- Improved measurement accuracy by reducing noise and baseline drift.
- Analysis of response signals from sensor elements.
- Utilization of multiple excitation frequencies to stimulate sensor elements.
- Generation of correction values based on response signal analysis.
Potential Applications: The technology can be applied in various industries such as healthcare, environmental monitoring, industrial automation, and consumer electronics.
Problems Solved: The technology addresses issues related to measurement accuracy, noise, and baseline drift in sensor systems.
Benefits:
- Enhanced measurement accuracy.
- Reduction of noise and baseline drift.
- Improved reliability of sensor data.
Commercial Applications: The technology can be used in medical devices, environmental sensors, manufacturing equipment, and consumer electronics for more accurate and reliable measurements.
Prior Art: There may be prior art related to sensor systems that aim to improve measurement accuracy by reducing noise and baseline drift.
Frequently Updated Research: Research on signal processing techniques, sensor element design, and excitation frequency optimization may be relevant to this technology.
Questions about Sensor System: 1. How does the sensor system analyze response signals to generate correction values? 2. What are the potential challenges in implementing multiple excitation frequencies in sensor systems?
Original Abstract Submitted
A sensor system is described with improved measurement accuracy that is achieved by reducing noise, baseline drift, or both based on processing a group of sensor element response signals. The response signals may be received in response to providing stimuli to the sensor element using different excitation frequencies over time. For example, the sensor circuitry may provide excitation signals to the sensing element with multiple excitation frequencies over time. The sensor system may include storage and processing circuitry to receive the response signals and to generate the correction values based on analyzing the received response signals. The sensor system may then provide adjusted response signals by reducing the noise, baseline drift, or both based on the correction values.
