Industrial Fault Detection Employing Meta Ensemble Model Based on Contact Sensor Ultrasonic Signal
Ultrasonic diagnostics is the earliest way to predict industrial faults. Usually, a contact microphone is employed for detection, but the recording will be contaminated with noise. In this paper, a dataset that contains 10 main faults of pipelines and motors is analyzed from which 30 different featu...
Main Authors: | Amirhossein Moshrefi, Hani H. Tawfik, Mohannad Y. Elsayed, Frederic Nabki |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/7/2297 |
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