Neural network approach to condition monitoring of industrial robotic-manipulators
Автор: Kazheunikau Mikhail M.
Журнал: Космические аппараты и технологии.
Рубрика: Робототехника и мехатроника
Статья в выпуске: 1 (3), 2013 года.
The paper presents a novel technique for condition monitoring of industrial robotic manipulators, which is based on neural network analyses of the dynamic model parameters obtained by means of on-line identification. There were derived analytical expressions that allow minimising impact of the measurement errors on the identification accuracy. Efficiency of the proposed technique has been verified by real-life case studies from industrial monitoring systems.
Neural network, condition monitoring, robotic-manipulators
Короткий адрес: https://sciup.org/14117287