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.

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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

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IDR: 14117287

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