✦ LIBER ✦

Power system stabilizer based on inverse dynamics using an artificial neural network

✍ Scribed by Y.M. Park; S.H. Hyun; J.H. Lee

Publisher: Elsevier Science
Year: 1996
Tongue: English
Weight: 688 KB
Volume: 18
Category: Article
ISSN: 0142-0615
DOI: 10.1016/0142-0615(95)00069-0

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

96/05064 Power system stabilizer based o

96/05064 Power system stabilizer based on inverse dynamics using an artificial neural network

📂 Article 📅 1996 🏛 Elsevier Science ⚖ 192 KB

Fast dynamic stability analysis of a pow

Fast dynamic stability analysis of a power system using artificial neural networks

✍ D. Kukolj; D. Popovic; F. Kulic; Z. Gorecan 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 665 KB

Bad data analysis in power system measur

Bad data analysis in power system measurement estimation using complex artificial neural network based on the extended complex Kalman filter

✍ Chien-Hung Huang; Chien-Hsing Lee; Kuang-Rong Shih; Yaw-Juen Wang 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 666 KB

Method and system for differential diagn

Method and system for differential diagnosis based on clinical and radiological information using artificial neural networks

✍ Naoki Asada; Kunio Doi 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 101 KB

Dynamic modeling of a SOFC/MGT hybrid po

Dynamic modeling of a SOFC/MGT hybrid power system based on modified OIF Elman neural network

✍ Xiao-Juan Wu; Qi Huang; Xin-Jian Zhu 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 151 KB

System identification of concrete gravit

System identification of concrete gravity dams using artificial neural networks based on a hybrid finite element–boundary element approach

✍ I. Karimi; N. Khaji; M.T. Ahmadi; M. Mirzayee 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 703 KB

System identification is an emerging field of structural engineering which plays a key role in structures of great importance such as concrete gravity dams. In this study, an artificial neural network (ANN) procedure is proposed for the identification of concrete gravity dams, in conjunction with a