Pattern recognition and diagnosis of short and open circuit faults inverter in induction motor drive using neural networks
Abstract
The operation and control induction motor and inverter drives under faulty condition is a big challenging task in the present day. For that reason, these electrical systems must have well considering to provide a relevant diagnosis of these elements. Consequently, detecting defects early will be very important in order to find methods to allow us to control the operation and protecting action to avoid regular failures. This study develops a technique based on pattern recognition in short and open circuit switch faults in three-phase inverter fed induction motor using neural networks technique, with a simple feature extractor technique Fast Fourier Transform (FFT) to make detection and diagnosis faults possible and straight forward with a neural network. Simulation results and classification performances improved by using a neural network for fault detection and pattern recognition.Downloads
Published
Issue
Section
License
Engineering review uses the Creative Commons Attribution-NonCommercial-NoDerivatives (CC-BY-NC-ND) 4.0 International License, which governs the use, publishing and distribution of articles by authors, publishers and the wider general public.
The authors are allowed to post a digital file of the published article, or the link to the published article (Enginering Review web page) may be made publicly available on websites or repositories, such as the Author’s personal website, preprint servers, university networks or primary employer’s institutional websites, third party institutional or subject-based repositories, and conference websites that feature presentations by the Author(s) based on the published article, under the condition that the article is posted in its unaltered Engineering Review form, exclusively for non-commercial purposes.
The journal Engineering Review’s publishing procedure is performed in accordance with the publishing ethics statements, defined within the Publishing Ethics Resource Kit. The Ethics statement is available in the document Ethics Policies.