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All Journal Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter
. Syafrudin
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Applying genetic algorithm on power system stabilizer for stabilization of power system Arnawan Hasibuan; . Syafrudin
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 1, No 2 (2011): Engineering
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (106.002 KB)

Abstract

This paper the genetic algorithm method is used in Power System Stabilizer (PSS) for power system stability is discussed. Parameters of PSS on generator system in a state determined offline using genetic algorithms and the objective function is based on eigen value system was described in detail. PSS parameters and the location is calculated to maximize damping performance in different operating conditions. Genetic algorithm is a kind of random search algorithm based on the mechanism of natural selection and natural genetics. Genetic algorithms are used as search parameters of the PSS technique, which utilizes genetic operators to find the nearest optimal solution. An advantage of the search with the GA is not trapped in an early convergence 
Early detection of rotor-bar faults of three-phase induction motor using motor current signature analysis method . Syafrudin; Arnawan Hasibuan
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 1, No 2 (2011): Engineering
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1216.235 KB)

Abstract

Three-phase induction motors play a pivotal role in industry and there is a strong demand for their reliable and safe operation. They are generally reliable but eventually do wear out. Faults and failures of induction motor can lead to excessive downtimes and generate large losses in terms of maintenance and lost revenues, and this motivates the examination of on-line condition early detecting.  On-line condition early detecting involves taking measurements on a motor while it is operating in order to detect faults with the aim of reducing both unexpected failures and maintenance costs. Motor Current Signature Analysis (MCSA) method is a way to detection of condition monitoring technique used to early detection problems in rotor bar fault of three- phase induction motors. In this paper presented the experimental results of frequency spectrum Fast Fourier Transform (FFT) stator current on-line censorship a three-phase induction motor using LabVIEW algorithm for detecting of rotor conductors faults. The stator current FFT analyzed using Motor Current Signature Analysis (MCSA) method.
Co-Authors Arnawan Hasibuan