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Speaker-Independent Malay Syllable Recognition Using Singular and Modular Neural Networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ting, Hua Nong Yunus, Jasmy Salleh, Sheikh Hussain Shaikh |
| Copyright Year | 2001 |
| Abstract | This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro–fuzzy inference system (ANFIS) and investigates their robustness for a multi–machine power system. Speed deviation of a machine and its derivative are chosen as the input signals to the FLPSS. A four–machine and a two–area power system is used as the case study. Computer simulations for the test system subjected to transient disturbances i.e. a three phase fault, were carried out and the results showed that the proposed controller is able to prove its effectiveness and improve the system damping when compared to a conventional lead–lag based power system stabilizer controller. |
| Starting Page | 65 |
| Ending Page | 76 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| DOI | 10.11113/jt.v35.611 |
| Alternate Webpage(s) | https://core.ac.uk/download/pdf/11778103.pdf |
| Alternate Webpage(s) | https://doi.org/10.11113/jt.v35.611 |
| Volume Number | 35 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
