Development of a Universal Sensor Based on the Stm32 Microcontroller for an Intelligent Technical Diagnostics System
Year: 2025
Type: conference-paper
Abstract: The article describes a study aimed at developing a system for technical monitoring of process equipment using neural network methods for classifying technical states based on the analysis of signal spectra measured using combined sensors of physical quantities. The sensor firmware implements various algorithms for digital signal processing, which allows unifying the hardware.
Authors: A. Yablokov, M. Latyshev, I. Blagoveshchensky
Institution: MIREA - Russian Technological University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409425404