Aiming at the problem of low accuracy of equipment health intelligent diagnosis in Iron&Steel enterprises,this paper proposes an adaptive multi-mode equipment health intelligent diagnosis framework based on deep learning and big data technology.Through the application of the framework in the field,the accuracy of the diagnosis results is obviously improved,and the level of the safe and stable operation management of the transmission equipment is improved.The framework can be applied to similar projects.
维普
万方数据
