Ontology highlight
ABSTRACT:
SUBMITTER: de Las Morenas J
PROVIDER: S-EPMC10007525 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
de Las Morenas Javier J Moya-Fernández Francisco F López-Gómez Julio Alberto JA
Sensors (Basel, Switzerland) 20230228 5
The advent of digitization has brought about new technologies that enable advanced condition monitoring and fault diagnosis under the Industry 4.0 paradigm. While vibration signal analysis is a commonly used method for fault detection in literature, it often involves the use of expensive equipment in difficult-to-reach locations. This paper presents a solution for fault diagnosis of electrical machines by utilizing machine learning techniques on the edge, classifying information coming from moto ...[more]