Procedure of fault detection for driving systems using self-organizing neural networks

Gheorghe Puscasu, Vasile Palade, Alexandru Stancu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

In the paper it is proposed a neural network based procedure for the recognition of faults to a DC driving system. The analysis procedure of the faults can be used to warn the human user when a new class of faults is detected.

Original languageEnglish
Title of host publicationProceedings of the Mediterranean Electrotechnical Conference - MELECON
PublisherIEEE
Pages446-448
Number of pages3
Volume2
ISBN (Print)0-7803-6290-X
DOIs
Publication statusPublished - 2000
Externally publishedYes
Event10th Mediterranean Electrotechnical Conference - Lemesos, Cyprus
Duration: 29 May 200031 May 2000

Conference

Conference10th Mediterranean Electrotechnical Conference
Abbreviated titleMALECON2000
CountryCyprus
CityLemesos
Period29/05/0031/05/00

Fingerprint

Fault detection
Neural networks

Keywords

  • Fault detection
  • Neural networks
  • DC motors
  • Data mining
  • Transfer functions
  • Pattern recognition
  • Fault diagnosis
  • Induction motors
  • Equations
  • Optimization methods
  • electric machine analysis computing
  • DC motor drives
  • fault diagnosis
  • machine theory
  • self-organising feature maps
  • learning (artificial intelligence)
  • fault class
  • DC motor drive system
  • fault detection
  • self-organizing neural networks
  • analysis procedure
  • fault recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Puscasu, G., Palade, V., & Stancu, A. (2000). Procedure of fault detection for driving systems using self-organizing neural networks. In Proceedings of the Mediterranean Electrotechnical Conference - MELECON (Vol. 2, pp. 446-448). IEEE. https://doi.org/10.1109/MELCON.2000.879966

Procedure of fault detection for driving systems using self-organizing neural networks. / Puscasu, Gheorghe; Palade, Vasile; Stancu, Alexandru.

Proceedings of the Mediterranean Electrotechnical Conference - MELECON. Vol. 2 IEEE, 2000. p. 446-448.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Puscasu, G, Palade, V & Stancu, A 2000, Procedure of fault detection for driving systems using self-organizing neural networks. in Proceedings of the Mediterranean Electrotechnical Conference - MELECON. vol. 2, IEEE, pp. 446-448, 10th Mediterranean Electrotechnical Conference, Lemesos, Cyprus, 29/05/00. https://doi.org/10.1109/MELCON.2000.879966
Puscasu G, Palade V, Stancu A. Procedure of fault detection for driving systems using self-organizing neural networks. In Proceedings of the Mediterranean Electrotechnical Conference - MELECON. Vol. 2. IEEE. 2000. p. 446-448 https://doi.org/10.1109/MELCON.2000.879966
Puscasu, Gheorghe ; Palade, Vasile ; Stancu, Alexandru. / Procedure of fault detection for driving systems using self-organizing neural networks. Proceedings of the Mediterranean Electrotechnical Conference - MELECON. Vol. 2 IEEE, 2000. pp. 446-448
@inproceedings{eac17df737e9481bad69c52550a9fe44,
title = "Procedure of fault detection for driving systems using self-organizing neural networks",
abstract = "In the paper it is proposed a neural network based procedure for the recognition of faults to a DC driving system. The analysis procedure of the faults can be used to warn the human user when a new class of faults is detected.",
keywords = "Fault detection, Neural networks, DC motors, Data mining, Transfer functions, Pattern recognition, Fault diagnosis, Induction motors, Equations, Optimization methods, electric machine analysis computing, DC motor drives, fault diagnosis, machine theory, self-organising feature maps, learning (artificial intelligence), fault class, DC motor drive system, fault detection, self-organizing neural networks, analysis procedure, fault recognition",
author = "Gheorghe Puscasu and Vasile Palade and Alexandru Stancu",
year = "2000",
doi = "10.1109/MELCON.2000.879966",
language = "English",
isbn = "0-7803-6290-X",
volume = "2",
pages = "446--448",
booktitle = "Proceedings of the Mediterranean Electrotechnical Conference - MELECON",
publisher = "IEEE",

}

TY - GEN

T1 - Procedure of fault detection for driving systems using self-organizing neural networks

AU - Puscasu, Gheorghe

AU - Palade, Vasile

AU - Stancu, Alexandru

PY - 2000

Y1 - 2000

N2 - In the paper it is proposed a neural network based procedure for the recognition of faults to a DC driving system. The analysis procedure of the faults can be used to warn the human user when a new class of faults is detected.

AB - In the paper it is proposed a neural network based procedure for the recognition of faults to a DC driving system. The analysis procedure of the faults can be used to warn the human user when a new class of faults is detected.

KW - Fault detection

KW - Neural networks

KW - DC motors

KW - Data mining

KW - Transfer functions

KW - Pattern recognition

KW - Fault diagnosis

KW - Induction motors

KW - Equations

KW - Optimization methods

KW - electric machine analysis computing

KW - DC motor drives

KW - fault diagnosis

KW - machine theory

KW - self-organising feature maps

KW - learning (artificial intelligence)

KW - fault class

KW - DC motor drive system

KW - fault detection

KW - self-organizing neural networks

KW - analysis procedure

KW - fault recognition

UR - http://www.scopus.com/inward/record.url?scp=0034476514&partnerID=8YFLogxK

U2 - 10.1109/MELCON.2000.879966

DO - 10.1109/MELCON.2000.879966

M3 - Conference proceeding

SN - 0-7803-6290-X

VL - 2

SP - 446

EP - 448

BT - Proceedings of the Mediterranean Electrotechnical Conference - MELECON

PB - IEEE

ER -