The application relates to the technical field of
machine tool fault diagnosis, and discloses an
electric spark machine tool fault diagnosis method and
system, an
electric spark machine tool fault diagnosis method, which comprises the following steps: step S101, obtaining an electric
conductivity characteristic quantity and a
machining liquid characteristic quantity through pretreatment; step S102, obtaining a balance coefficient by executing a micro-process stimulation on the
machine tool; step S103, obtaining an equivalent
coupling driving vector through calculation; step S104, obtaining a
hysteresis characteristic quantity through calculation; and step S105, obtaining the running state of the
electric spark machine tool through a fault diagnosis model. According to the application, the electric
conductivity and the
machining liquid characteristic quantity are obtained through orthogonal decoupling, the balance coefficient is obtained by combining the micro-process stimulation, the equivalent
coupling driving vector is constructed, and the
hysteresis characteristic quantity is extracted, so that the running state of the electric spark
machine tool can be accurately diagnosed, targeted maintenance strategies can be provided for different fault types, the
blindness of maintenance can be avoided, the fault disposal efficiency can be greatly improved, and the risk of equipment damage can be reduced.