A new technique for power quality based condition monitoring

Mohamed Fuad Faisal, Azah Mohamed

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

3 Citations (Scopus)

Abstract

Power quality disturbances can interrupt production lines, cause damage to products and equipment, result in lost orders or transactions, corrupt data communication and storage, and cause an overall decrease in productivity. At present, there are no techniques that can effectively correlate the occurrences of the power quality disturbances to the failure of the sensitive equipments. Most of the time, the causes of the equipment failures were termed as unknown or nuisance tripping. Unlike a comprehensive electrical system survey, a power quality based condition monitoring focuses on a small set of parameters that can indicate the existence of power quality disturbances and predict possible critical load failures. The condition of the power at specific dates can be used to predict possible downtime of sensitive machinery. It is important to note that voltage fluctuation, harmonic distortion, and unbalance are good indicators to indicate the existence of these power quality disturbances. These data can also indicate the condition of the load and power system, and can be recorded quickly with little incremental labor using a power quality recorder. In this paper, a new technique for performing power quality based condition monitoring is presented. The new technique involves the use of advanced signal processing and artificial intelligence techniques. A sample case study is presented to demonstrate the effectiveness of this new technique.

Original languageEnglish
Title of host publicationIET Conference Publications
Edition550 CP
DOIs
Publication statusPublished - 2009
Event20th International Conference and Exhibition on Electricity Distribution, CIRED 2009 - Prague
Duration: 8 Jun 200911 Jun 2009

Other

Other20th International Conference and Exhibition on Electricity Distribution, CIRED 2009
CityPrague
Period8/6/0911/6/09

Fingerprint

Condition monitoring
Power quality
Harmonic distortion
Machinery
Artificial intelligence
Signal processing
Productivity
Personnel
Communication
Electric potential

Keywords

  • Artificial intelligence
  • Power quality disturbances
  • S-transform
  • Signal processing
  • SVM

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

A new technique for power quality based condition monitoring. / Faisal, Mohamed Fuad; Mohamed, Azah.

IET Conference Publications. 550 CP. ed. 2009.

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

Faisal, MF & Mohamed, A 2009, A new technique for power quality based condition monitoring. in IET Conference Publications. 550 CP edn, 20th International Conference and Exhibition on Electricity Distribution, CIRED 2009, Prague, 8/6/09. https://doi.org/10.1049/cp.2009.0529
Faisal, Mohamed Fuad ; Mohamed, Azah. / A new technique for power quality based condition monitoring. IET Conference Publications. 550 CP. ed. 2009.
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