Fault Detection in Three-phase Induction Motor based on Data Acquisition and ANN based Data Processing

نویسندگان

چکیده

The main objective of this paper is to investigate how a failure in the functioning normal electrical system represented by three-phase asynchronous motor will modify voltages and currents present if it possible design that able automatically detect fault, based on use modern data acquisition powerful computer processing capabilities. detection faulty signals realised using Feedforward Artificial Neural Networks.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

the comparative impact of prompts and recasts in processing instruction versus meaningful output-based instruction on efl learners’ writing accuracy

the purpose of the present study was to see which one of the two instruction-processing instruction (pi) and meaningful output based instruction (mobi) accompanied with prompt and recast- is more effective on efl learners’ writing accuracy. in order to homogenize the participants in term of language proficiency a preliminary english test (pet) was administrated between 74 intermediate students ...

Novel Wavelet ANN Technique to Classify Interturn Fault in Three Phase Induction Motor

Early detection of faults in stator winding of induction motor is crucial for reliable and economical operation of induction motor in industries. Whereas major winding faults can be easily identified from supply currents, minor faults involving less than 5 % of turns are not readily discernible. The present contribution reports experimental results for monitoring of minor short circuit faults i...

متن کامل

Bearing Fault Detection Based on Maximum Likelihood Estimation and Optimized ANN Using the Bees Algorithm

Rotating machinery is the most common machinery in industry. The root of the faults in rotating machinery is often faulty rolling element bearings. This paper presents a technique using optimized artificial neural network by the Bees Algorithm for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (maximum likelihood estima...

متن کامل

Broken Bar Fault Detection based on Set Membership Identification for Three Phase Induction Motors

Abstract: This article presents a fault detection scheme for the case of a broken bar occurrence in a three phase induction motor. The proposed scheme relies on Set Membership Identification (SMI) and novel proposed boundary violation rules for the identified motor’s parameters. The model of the three phase induction motor is being transformed into an equivalent two phase model, described in th...

متن کامل

Image Processing Based Stator Fault Severity Detection and Diagnosis of Induction Motor Using Labview

This paper deals with the fault severity detection and diagnosisof induction motor fault based on image processing using particle analysis. Index of compactness and distance between xc coordinate of gravity center of the region and x coordinate of the mean upper point of the region (dist_xc_tlr) are two features extracting by image processing. Using the fuzzy logic strategy, a better understand...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Computers Communications & Control

سال: 2022

ISSN: ['1841-9844', '1841-9836']

DOI: https://doi.org/10.15837/ijccc.2022.3.4788