A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis


Abstract:

Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, radars, turbines, etc.) that have been identified as one of the primary causes of failure in these machines. This makes bearing fault diagnosis (detection, classification, and prognosis) an economic very relevant topic, as well as a technically challenging one as evaluated by the extensive research literature on the subject. This paper employs a systematic methodology to identify, summarize, analyze, and interpret the primary literature on fuzzy formalisms for bearing fault diagnosis from 2000 to 2017 (March). The main contribution is an updated, unbiased, and (to a higher extend) repeatable search, review, and analysis (summary, classification, and critique) of the available approaches resorting to fuzzy formalisms in this trendy topic. A discussion on a new promising future research direction is provided. A comprehensive list of references is also included.

Año de publicación:

2019

Keywords:

  • Fault prognosis
  • Fuzzy entropy
  • Fuzzy Clustering
  • fault classification
  • Fault diagnosis
  • Fault Detection
  • Bearing
  • fuzzy rules

Fuente:

scopusscopus

Tipo de documento:

Review

Estado:

Acceso restringido

Áreas de conocimiento:

  • Sistema de control
  • Inteligencia artificial

Áreas temáticas:

  • Física aplicada
  • Métodos informáticos especiales