Detection and Diagnosis of Lubrication and Faults in Bearing on Induction Motors through STFT

被引：0

作者：

Lopez-Ramirez, Misael ^{[1
]}

Romero-Troncoso, Rene J. ^{[1
]}

Morinigo-Sotelo, Daniel ^{[2
]}

Duque-Perez, Oscar ^{[2
]}

Ledesma-Carrillo, Luis M. ^{[1
]}

Camarena-Martinez, David ^{[1
]}

Garcia-Perez, Arturo ^{[1
]}

机构：

[1] Univ Guanajuato, Div Ingn, CA Telemat Procesamiento Digital Senales, Campus Irapuato Salamanca, Guanajuato 36700, Mexico

[2] Univ Valladolid UVa, Dept Elect Engn, Valladolid 47011, Spain

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND COMPUTERS (CONIELECOMP) | 2016年

关键词：

Time-Frequency representation; Short Time Fourier Tranform; Notch Filter; Induction motor; Fault monitoring;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The Induction motors are nowadays widely used in a variety of industrial applications due to their simple build and high reliability, On the other hand, adequate bearing lubrication is so important to guarantee an adequate operation during a long time. Thus, in this work, a method for detection and diagnosis of lubrication and mechanical faults in bearing used on induction motors through Short Time Fourier Transform (STFT) is proposed. Obtained results demonstrate the correct detection of lubrication and mechanical faults in bearing by the identification of different spectral components for each faulty case and the healthy condition.

引用

页码：13 / 18

页数：6

共 50 条

[1] Bibliography on induction motors faults detection and diagnosis
Benbouzid, MEH
[J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 1999, 14 (04) : 1065 - 1074
[2] Detection of Stator, Bearing and Rotor Faults in Induction Motors
Ergin, Semih
Uzuntas, Arzu
Gulmezoglu, M. Bilginer
[J]. INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011, 2012, 30 : 1103 - 1109
[3] Experimenatal evaluation of diagnosis & analysis of bearing faults in induction motors
Arunkumar, K. M.
Manjunath, T. C.
[J]. PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 436 - 442
[4] A fuzzy BP approach for diagnosis and prognosis of bearing faults in induction motors
Satish, B
Sarma, NDR
[J]. 2005 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS, 1-3, 2005, : 2291 - 2294
[5] Induction motors' faults detection and diagnosis by using Dedicated Software
Syggeridou, Olympiada A.
Ioannides, Maria G.
[J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 181 (1-3) : 313 - 317
[6] The detection of bearing faults for induction motors by using vibration signals and machine learning
Irgat, Eyup
Cinar, Eyup
Unsal, Abdurrahman
[J]. 2021 IEEE 13TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2021, : 447 - 453
[7] Faults Diagnosis in Induction Motors Through Thermal Mapping Produced by the RDTS System
de Pelegrin, Jesse
Dreyer, Uilian Jose
Bazzo, Joao Paulo
Cardozo da Silva, Jean Carlos
[J]. IEEE SENSORS JOURNAL, 2021, 21 (18) : 20061 - 20068
[8] Detection and diagnosis of faults in induction motors using vibration and phase current analysis
Liang, B
Payne, BS
Ball, AD
[J]. INTEGRATING DYNAMICS, CONDITION MONITORING AND CONTROL FOR THE 21ST CENTURY - DYMAC 99, 1999, : 337 - 341
[9] Diagnosis of Bearing Faults in Induction Motors By Vibration Signals - Comparison of Multiple Signal Processing Approaches
Goncalves, Mario J. M.
Creppe, Renato C.
Marques, Emanuel G.
Cruz, Sergio M. A.
[J]. 2015 IEEE 24TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2015, : 488 - 493
[10] Analytic Model for Induction Motors Under Localized Bearing Faults
Ojaghi, Mansour
Sabouri, Mahdi
Faiz, Jawad
[J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2018, 33 (02) : 617 - 626

← 1 2 3 4 5 →