DEVELOPMENT OF A UNIVERSAL SENSOR BASED ON THE STM32 MICROCONTROLLER FOR AN INTELLIGENT TECHNICAL DIAGNOSTICS SYSTEM
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
- Mikhail Latyshev (ORCID: https://orcid.org/0000-0002-8716-7510)
- Ivan Blagoveshchensky
- Andrey Yablokov (ORCID: https://orcid.org/0000-0002-0211-375X)
Institutions
- MIREA - Russian Technological University (RU)
Publication Details
- Published
- 2025-04-14
- DOI
- https://doi.org/10.58168/cismp2024_741-744
- Primary Topic
- Advanced Sensor and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00