Work

Development of an Embedded IoT Platform for Acoustic Emission Monitoring in Industry 4.0

Year: 2024

Type: conference-paper

Abstract: This work presents a system combining hardware and embedded software to simplify the acquisition of acoustic emission signals using a wireless IoT sensor.Integrated into a larger ecosystem, this system supports fault diagnosis, feature extraction, pattern classification, and a cloud interface.It consolidates complex apparatus into a single tool, enabling remote sensor configuration during tests.The system also incorporates computational models for feature extraction and failure analysis, organizing tests through forms without needing external computers.This innovation advances the use of acoustic emission sensors in line with Industry 4.0, enhancing IoT sensor applications and improving manufacturing process efficiency.

DOI: 10.3390/ecsa-11-20484

Authors: Lucas Zanasi Matheus, Paulo Vitor Pereira Oliveira, Fabio Romano Lofrano Dotto, Pedro de Oliveira Conceição Junior, Alessandro Roger Rodrigues, Marcio Marques da Silva

Institutions: Universidade de São Paulo, Serviço Nacional de Aprendizagem Industrial

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Funders: Fundação de Amparo à Pesquisa do Estado de São Paulo, Universidade de São Paulo

Awards: G2299535993, G4991258538, Development and Implementation of an Internet of Things-Based Acoustic Emission Sensor for Industrial Process Monitoring