SciELO - Scientific Electronic Library Online

 
vol.38 issue2Composition influence on properties of acrylic composites loaded with synthetic hydroxyapatiteSensitivity analysis for differential algebraic equations author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Latin American applied research

Print version ISSN 0327-0793

Abstract

VERUCCHI, C. J.; ACOSTA, G. G.  and  BENGER, F. A.. A review on fault diagnosis of induction machines. Lat. Am. appl. res. [online]. 2008, vol.38, n.2, pp.113-121. ISSN 0327-0793.

Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. These new alternatives are characterised by an on-line and non-invasive feature, that is to say, the capacity to detect faults while the machine is working and the capacity to work sensorless. These characteristics, obtained by the new techniques, distinguish them from the traditional ones, which, in most cases, need that the machine which is being analysed is not working to do the diagnosis. The main purpose of this article is to revise the main alternatives in the detection of faults in induction machines and compare their contributions according to the information they require for the diagnosis, the number and relevance of the faults that can be detected, the speed to anticipate a fault and the accuracy in the diagnosis.

Keywords : Induction Machines; Fault Detection and Diagnosis.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License