Computer System for Electric Drives Fault Diagnosis of Mining Shovels

Proceedings of the 8th Russian-Chinese Symposium "Coal in the 21st Century: Mining, Processing, Safety" ◽

10.2991/coal-16.2016.52 ◽

2016 ◽

Author(s):

Veniamin Kashirskikh ◽

Andrey Gargayev ◽

Valeriy Zavyalov ◽

Irina Semykina

Keyword(s):

Fault Diagnosis ◽

Computer System ◽

Electric Drives

Diagnosis of Inverter Drives Faults

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.792.147 ◽

2015 ◽

Vol 792 ◽

pp. 147-154 ◽

Cited By ~ 1

Author(s):

Alexander Kislov ◽

Argyn Kaidar ◽

Bauyrzhan Shapkenov

Keyword(s):

Fault Diagnosis ◽

Power Electronics ◽

Electric Drives

This article represents research on fault diagnosis of inverter electric drives. It puts more emphasis on power electronics and drives. The paper begins with the diagnostics of systems with conventional inverter drives, because knowledge of the fault diagnosis in conventional inverter can be used for its applications in other topologies of inverter drives. Therefore, the article describes several methods for troubleshooting.

Model-based fault diagnosis in electric drives using machine learning

IEEE/ASME Transactions on Mechatronics ◽

10.1109/tmech.2006.875568 ◽

2006 ◽

Vol 11 (3) ◽

pp. 290-303 ◽

Cited By ~ 83

Author(s):

Yi Lu Murphey ◽

M.A. Masrur ◽

ZhiHang Chen ◽

Baifang Zhang

Keyword(s):

Machine Learning ◽

Fault Diagnosis ◽

Electric Drives ◽

Model Based

Fault diagnosis in electric drives using machine learning approaches

2013 International Electric Machines & Drives Conference ◽

10.1109/iemdc.2013.6556173 ◽

2013 ◽

Cited By ~ 15

Author(s):

Andre A. Silva ◽

Ali M. Bazzi ◽

Shalabh Gupta

Keyword(s):

Machine Learning ◽

Fault Diagnosis ◽

Learning Approaches ◽

Electric Drives

Time-Frequency Based Feature Extraction and Classification for Fault Diagnosis in Electric Drives

2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2007.4487339 ◽

2007 ◽

Cited By ~ 1

Author(s):

Selin Aviyente ◽

Sajjad Zaidi ◽

Elias G. Strangas

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Time Frequency ◽

Electric Drives

A passenger vehicle onboard computer system for engine fault diagnosis, performance measurement and control

10.1109/vtc.1987.1623585 ◽

1987 ◽

Cited By ~ 12

Author(s):

G. Rizzoni

Keyword(s):

Fault Diagnosis ◽

Performance Measurement ◽

Computer System ◽

Passenger Vehicle ◽

Onboard Computer ◽

And Control ◽

Measurement And Control

Research of fault diagnosis system for pickling and cold-rolling electric drives based on BP neural network

2009 International Conference on Test and Measurement ◽

10.1109/ictm.2009.5412971 ◽

2009 ◽

Author(s):

Yanbin Sun ◽

Yi An

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Cold Rolling ◽

Bp Neural Network ◽

Diagnosis System ◽

Electric Drives ◽

Fault Diagnosis System

A promising OPC-based computer system applied to fault diagnosis

Computer Aided Chemical Engineering - 22nd European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-444-59520-1.50037-3 ◽

2012 ◽

pp. 892-896 ◽

Cited By ~ 1

Author(s):

Javier Silvente ◽

Isaac Monroy ◽

Gerard Escudero ◽

Antonio Espuña ◽

Moisès Graells

Keyword(s):

Fault Diagnosis ◽

Computer System

Adaptive control and fault-diagnosis implementation using an industrial computer system

Proceedings of the 1997 American Control Conference (Cat. No.97CH36041) ◽

10.1109/acc.1997.611754 ◽

1997 ◽

Author(s):

S.M. Mohamed ◽

A.L. El-Shafei ◽

A. Baghat ◽

M. Hallouda

Keyword(s):

Adaptive Control ◽

Fault Diagnosis ◽

Computer System

Some Recent Results in Quiescent Prominence Spectrometry

International Astronomical Union Colloquium ◽

10.1017/s0252921100065179 ◽

1979 ◽

Vol 44 ◽

pp. 41-47

Author(s):

Donald A. Landman

Keyword(s):

Real Time ◽

Computer System ◽

Spectral Response ◽

Absolute Intensity ◽

Solar Observatory ◽

Target Size ◽

Small Target ◽

Signal Averaging ◽

Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

Remote real-time computer system for medical research and diagnosis

JAMA ◽

10.1001/jama.196.11.967 ◽

1966 ◽

Vol 196 (11) ◽

pp. 967-972

Author(s):

J. F. Dickson

Keyword(s):

Medical Research ◽

Real Time ◽

Computer System