Artificial Intelligence in Fault Diagnosis and Signal Processing
Dublin Core
Title
Artificial Intelligence in Fault Diagnosis and Signal Processing
Subject
Technology
History of engineering
History of engineering
Description
The aim of this reprint is to immerse the reader in the latest technological approaches employed in the detection and diagnosis of faults in industrial processes. As the early detection of faults avoids damage that may be irreparable to machinery, reducing the performance of the control system and reducing the process efficiency, which would result in a decrease in production, new approaches to the detection and diagnosis of faults have become a compulsory task in any Industry 4.0 implementation.
Creator
Roque Alfredo Osornio-Rios,
Athanasios Karlis,
Andres Bustillo Iglesias
Athanasios Karlis,
Andres Bustillo Iglesias
Source
https://mdpi-res.com/bookfiles/book/11102/Artificial_Intelligence_in_Fault_Diagnosis_and_Signal_Processing.pdf?v=1761703900
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2025
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Roque Alfredo Osornio-Rios,
Athanasios Karlis,
Andres Bustillo Iglesias, “Artificial Intelligence in Fault Diagnosis and Signal Processing,” Open Educational Resource (OER) - USK Library, accessed October 30, 2025, http://oer.usk.ac.id/items/show/9375.