A Comprehensive Review of Fault Diagnosis and Prognosis Strategies for Three-Phase Induction Motors: 2010-2025
Author(s) -
Raya A. K. Aswad,
Laszlo Szamel,
Bassim M. H. Jassim
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3637859
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Fault diagnosis is an active research area in different industrial sectors, and as induction motors are the central drive in many of them, a considerable number of papers have been explicitly devoted to the diagnosis of induction motor faults. With the drift towards industry 4.0, where more smart systems are being involved, mere detection of fault is no longer sufficient. Instead, detailed information regarding the nature, location, and severity of the fault, as well as determining how long is left before the end of the machine’s life, which is known as the estimation of the Remaining Useful Life (RUL) in a prognostic process, has become the new concern. Hereby, this article is intended to review works in the related field, covering research papers from the past decade, accelerating the wheel of knowledge to enhance what exists and opening doors for deeper exploration in other aspects of this field.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom