Degradation Prediction of EPLA Electro-Pneumatic Changeover Valve

Abstract

With the continuous development of Prognostic and Health Management (PHM) technology, driven by emerging industrial information and industrial intelligence, digital twin technology has become an emerging research hotspot in the field of smart manufacturing and smart maintenance. Aiming at problems such as the loss of fault data, complex physics, and unknown failure mechanism in the PHM of EPLA electro-pneumatic changeover valve (EP valve), this paper proposes an EP valve degradation prediction scheme based on digital twin (DT) technology. The program is mainly divided into three parts: physical entity module, virtual simulation module and degradation prediction module. First, this article obtains the physical entity information required by the DT process through the accelerated degradation test of the EP valve electromagnet, and discusses the failure mechanism of the electromagnet. Then, this paper obtains the model simulation information needed by the DT process through EP valve virtual simulation modeling and dynamic degradation simulation. Finally, this paper proposes an information interaction method between physical entity information and model simulation information, which provides a theoretical basis for degradation prediction.