APPLICATION OF STATISTICAL NEURONAL NETWORKS FOR DIAGNOSTICS OF INDUCTION MACHINE ROTOR FAULTS

被引：0

作者：

Marmouch, Sameh ^{[1
]}

Aroui, Tarek ^{[1
]}

Koubaa, Yassine ^{[2
]}

机构：

[1] Univ Sousse, Natl Engn Sch Sousse, Elect Engn Dept, Sousse, Tunisia

[2] Univ Sfax, Natl Engn Sch Sfax, Elect Engn Dept, Sfax, Tunisia

来源：

2016 17TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA'2016) | 2016年

关键词：

induction machines; analysis motor current signature analysis; radial basis functions neuronal network; probabilistic neuronal network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Induction machines are extensively used in industries and are subject to unexpected breakdowns. It is necessary, therefore, to prevent them from such breakdown through the maintenance that works according to a well-trained planning. A considerable number of diagnosis techniques have been used such as Motor Current Signature Analysis (MCSA), Axial Flux Monitoring and Vibration Monitoring. This paper shows the effectiveness of the artificial neuronal network (radial basis function neuronal network and the probabilistic neuronal network) basis on MCSA for rotor faults diagnosis.

引用

页码：199 / 204

页数：6

共 50 条

[1] Application of Feedforward Neural Network for Induction Machine Rotor Faults Diagnostics using Stator Current
Aroui, T.
Koubaa, Y.
Toumi, A.
[J]. JOURNAL OF ELECTRICAL SYSTEMS, 2007, 3 (04) : 213 - 226
[2] NEURAL NETWORKS AIDED ONLINE DIAGNOSTICS OF INDUCTION-MOTOR ROTOR FAULTS
FILIPPETTI, F
FRANCESCHINI, G
TASSONI, C
[J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1995, 31 (04) : 892 - 899
[3] Investigation of Induction Machine with Rotor-Bar Faults
Schreier, Ludek
Chomat, Miroslav
[J]. 2019 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL DRIVES & POWER ELECTRONICS (EDPE), 2019, : 12 - 17
[4] Induction Machines with Rotor Faults: Analysis of the Physical Quantities for Different Operating Conditions and Machine Sizes for Improved Diagnostics
Concari, Carlo
Pietrini, Giorgio
Soldati, Alessandro
Tassoni, Carla
Toscani, Andrea
Franceschini, Giovanni
[J]. 2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM), 2018, : 208 - 215
[5] Conditioning of a statistical indicator for the detection of an asynchronous machine rotor faults
Ngote, Nabil
Guedira, Said
Cherkaoui, Mohamed
[J]. MECHANICS & INDUSTRY, 2012, 13 (03) : 197 - 203
[6] Diagnostics of Interior PM Machine Rotor Faults Based on EMF Harmonics
Radwan-Praglowska, Natalia
Wegiel, Tomasz
[J]. ENERGIES, 2024, 17 (09)
[7] Stator Current Demodulation for Induction Machine Rotor Faults Diagnosis
El Bouchikhi, El Houssin
Choqueuse, Vincent
Benbouzid, Mohamed
Antonino-Daviu, Jose A.
[J]. 2014 INTERNATIONAL CONFERENCE ON GREEN ENERGY, 2014, : 176 - 181
[8] Analysis of stator and rotor currents and torque of induction machine with rotor-bar faults
Schreier, L.
Bendl, J.
Chomat, M.
[J]. ELECTRICAL ENGINEERING, 2021, 103 (01) : 519 - 528
[9] Analysis of stator and rotor currents and torque of induction machine with rotor-bar faults
L. Schreier
J. Bendl
M. Chomat
[J]. Electrical Engineering, 2021, 103 : 519 - 528
[10] Diagnostics of induction machines with incipient rotor cage faults using the neutral voltage
Khezzar, A.
Oumaamar, M. E. K.
[J]. INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2007, 2 (06): : 842 - 848

← 1 2 3 4 5 →