Remote performance evaluation, life prediction and fault diagnosis of RV reducer for industrial robot

Abstract

Abstract For the reason of complex maintenance technology, long maintenance time and large downtime loss, the remote monitoring technology and intelligent diagnosis method are introduced into fault diagnosis of industrial robots; a remote fault diagnosis technology of industrial robots based on intelligent algorithm is proposed. The remote fault diagnosis platform of industrial robot is constructed, and three-layer architecture is designed, which is composed of perception layer, information transmission layer and fault diagnosis layer. RV Reducer of industrial robot is selected as fault diagnosis object, the state information of reducer is collected and processed, the signal processing and feature extraction are carried out by information fusion technology, performance state is evaluated by support vector machine, the remaining life is predicted by grey Markov model, and the potential fault is diagnosed by Bayesian network. The diagnosis results will provide decision support for reducer maintenance, and it will improve the maintenance efficiency, reliability level and user satisfaction.