Abstract
This paper describes a power quality (PQ) analysis software tool that is designed to analyze and classify PQ disturbances. The main capabilities of the PQ software include analysis of disturbance waveforms and disturbance identification of a particular type. The program initially analyses disturbance waveforms by using the fast Fourier transform and linear predictive coding techniques to extract the feature vectors for classification. The feature vectors of the disturbance waveforms are extracted and information are processed using derived rules of the expert system based classifier to automatically identify the different categories of disturbances such as voltage sag, swell, impulsive transient, oscillatory transient, repetitive notch and single notch. Another important feature of the program is that it can automatically send email or short messaging notifications upon identification of a disturbance so as to alert the system operator of a disturbance.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 15th IASTED International Conference on Applied Simulation and Modelling |
| Pages | 334-339 |
| Number of pages | 6 |
| Volume | 2006 |
| Publication status | Published - 2006 |
| Event | 15th IASTED International Conference on Applied Simulation and Modelling - Rhodes Duration: 26 Jun 2006 → 28 Jun 2006 |
Other
| Other | 15th IASTED International Conference on Applied Simulation and Modelling |
|---|---|
| City | Rhodes |
| Period | 26/6/06 → 28/6/06 |
Fingerprint
Keywords
- Disturbance notification
- Power quality analysis
- Rule based classifier
- Short-messaging-system
ASJC Scopus subject areas
- Engineering(all)
Cite this
Rule based power quality analysis tool. / Hussain, Aini; Mohamed, Azah; Shahbudin, Sharani; Mohamed, Mohd Raraizi; Md Saad, Mohamad Hanif.
Proceedings of the 15th IASTED International Conference on Applied Simulation and Modelling. Vol. 2006 2006. p. 334-339.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Rule based power quality analysis tool
AU - Hussain, Aini
AU - Mohamed, Azah
AU - Shahbudin, Sharani
AU - Mohamed, Mohd Raraizi
AU - Md Saad, Mohamad Hanif
PY - 2006
Y1 - 2006
N2 - This paper describes a power quality (PQ) analysis software tool that is designed to analyze and classify PQ disturbances. The main capabilities of the PQ software include analysis of disturbance waveforms and disturbance identification of a particular type. The program initially analyses disturbance waveforms by using the fast Fourier transform and linear predictive coding techniques to extract the feature vectors for classification. The feature vectors of the disturbance waveforms are extracted and information are processed using derived rules of the expert system based classifier to automatically identify the different categories of disturbances such as voltage sag, swell, impulsive transient, oscillatory transient, repetitive notch and single notch. Another important feature of the program is that it can automatically send email or short messaging notifications upon identification of a disturbance so as to alert the system operator of a disturbance.
AB - This paper describes a power quality (PQ) analysis software tool that is designed to analyze and classify PQ disturbances. The main capabilities of the PQ software include analysis of disturbance waveforms and disturbance identification of a particular type. The program initially analyses disturbance waveforms by using the fast Fourier transform and linear predictive coding techniques to extract the feature vectors for classification. The feature vectors of the disturbance waveforms are extracted and information are processed using derived rules of the expert system based classifier to automatically identify the different categories of disturbances such as voltage sag, swell, impulsive transient, oscillatory transient, repetitive notch and single notch. Another important feature of the program is that it can automatically send email or short messaging notifications upon identification of a disturbance so as to alert the system operator of a disturbance.
KW - Disturbance notification
KW - Power quality analysis
KW - Rule based classifier
KW - Short-messaging-system
UR - http://www.scopus.com/inward/record.url?scp=33751289125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33751289125&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0889865612
SN - 9780889865617
VL - 2006
SP - 334
EP - 339
BT - Proceedings of the 15th IASTED International Conference on Applied Simulation and Modelling
ER -