The development needs of high-end

intelligent

modern industrial technology have injected new impetus into the motor drive field

but have also posed more severe challenges to the operation and control of the motor system. As the basic way to solve the safety demand in industrial field

fault diagnosis is one of the key supporting technologies for reliable control and intelligent operation and maintenance by promoting its transformation from experimental science to applied science. This paper reviews the theoretical and application achievements and challenges of the existing technology

and attempts to build a theoretical system of fault diagnosis application technology. In this way

this paper aims to establish a clearer cognition and a unified basis for fault mechanism analysis

feature characterization

state perception and diagnosis decision against the background of industrial application. On this basis

the fault characteristics characterization under high performance control and dynamic operation conditions and multi-fault identification technology in limited information scenarios are discussed

and the future trend of fault diagnosis application technology is proposed

in order to trigger in-depth discussion among colleagues.