Two fault detection and isolation schemes for robot manipulators using soft computing techniques
APPLIED SOFT COMPUTING, cilt.10, sa.1, ss.125-134, 2010 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 10 Sayı: 1
- Basım Tarihi: 2010
- Doi Numarası: 10.1016/j.asoc.2009.06.011
- Dergi Adı: APPLIED SOFT COMPUTING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.125-134
- Anahtar Kelimeler: Fault detection and isolation, M-ANFIS, Neural networks, Robot manipulators, FUZZY-LOGIC, RESIDUAL GENERATION, DIAGNOSIS, SUPERVISION
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
With growing technology, fault detection and isolation (FDI) have become one of the interesting and important research areas in modern control and signal processing. Accomplishment of specific missions like waste treatment in nuclear reactors or data collection in space and underwater missions make reliability more important for robotics and this demand forces researchers to adapt available FDI studies on nonlinear systems to robot manipulators, mobile robots and mobile manipulators.