A backlash automatic detection system comprises a control device and a machine tool. The machine tool comprises a servo driver, a lead screw, a nut seat and a platform. The method comprises: entering an initial state and outputting a control command to the servo driver through the control device; driving the lead screw by the servo driver to move the nut seat towards a first direction and changing the movement direction of the nut seat towards a reverse second direction by the servo driver; defining a backlash phenomenon period according to one time point at which the nut seat starts to move towards the second direction and another time point at which the platform is driven to move by the nut seat; defining the displacement of the nut seat corresponding to the backlash phenomenon period as a backlash value.

A numerical control system diagnoses and maintains a numerical control machine tool by measuring backlash and downloading a backlash correction value to the numerical control machine tool. The system includes a host computer device that downloads a monitor management program to a numerical controller of the numerical control machine tool, collects numerical control information input/output between the numerical controller and a servomotor, analyzes the numerical control information, and diagnoses the numerical control machine tool.

An actuator of a machine is controlled by a control device with a controller structure in a normal operating mode and a special operating mode. The control device determines from a position setpoint value and a position actual value a control signal for the actuator. In the normal operating mode, the setpoint values are determined using a utility program, and in the special operating mode by a system program that is different from the normal operating program. In the special operating mode, a frequency characteristic for the actuator is determined on the basis of the sequence of setpoint values and associated actual values, and an evaluation for the actuator and/or of the controller structure is performed using the frequency characteristic and parameters of the controller structure. Depending on the evaluation, a message is transmitted to an operator of the machine or to a computing device over a network.

A tooth contact position adjustment amount estimation device that performs processing with respect to estimating a tooth contact position adjustment amount for dimensional data of parts constituting a power transmission mechanism according to the present invention, comprising: a machine learning device that performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism, wherein the machine learning device observes part dimensional data, which is the dimensional data of parts constituting the power transmission mechanism, as a state variable indicating a current state of an environment, and performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism in assembling the power transmission mechanism by performing processing with respect to machine learning based on the observed state variable.

A machining parameter adjustment system is established in a controller. The controller is connected to a machine. The controller is configured to receive a machining program and analyze at least one process included in the machining program. Also, the controller sets a tuning program corresponding to the process and inserts the tuning program before or after the code of the process, so as to generate an integration program and upload the integration program to the machine.

A host computer device downloads a monitor management program to a numerical controller of an NC machine tool in step S10, collects numerical control information input/output between the numerical controller and a servomotor in step S30, analyzes numerical control information monitored in step S40, and diagnoses the NC machine tool in steps S50 to S110.

An actuator of a machine is controlled by a control device with a controller structure in a normal operating mode and a special operating mode. The control device determines from a position setpoint value and a position actual value a control signal for the actuator. In the normal operating mode, the setpoint values are determined using a utility program, and in the special operating mode by a system program that is different from the normal operating program. In the special operating mode, a frequency characteristic for the actuator is determined on the basis of the sequence of setpoint values and associated actual values, and an evaluation for the actuator and/or of the controller structure is performed using the frequency characteristic and parameters of the controller structure. Depending on the evaluation, a message is transmitted to an operator of the machine or to a computing device over a network.

A machining parameter adjustment system is established in a controller. The controller is connected to a machine. The controller is configured to receive a machining program and analyze at least one process included in the machining program. Also, the controller sets a tuning program corresponding to the process and inserts the tuning program before or after the code of the process, so as to generate an integration program and upload the integration program to the machine.

A tooth contact position adjustment amount estimation device that performs processing with respect to estimating a tooth contact position adjustment amount for dimensional data of parts constituting a power transmission mechanism according to the present invention, comprising: a machine learning device that performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism, wherein the machine learning device observes part dimensional data, which is the dimensional data of parts constituting the power transmission mechanism, as a state variable indicating a current state of an environment, and performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism in assembling the power transmission mechanism by performing processing with respect to machine learning based on the observed state variable.

A tuning system for improving operation of a plant. A server is coupled to the tuning system for communicating with the plant via a communication network. A computer system has a web-based platform for receiving and sending plant data related to the operation of the plant over the network. A display device interactively displays the plant data. A reconciliation unit is configured for reconciling actual measured data from the plant in comparison with a performance process model result from a simulation engine based on a set of predetermined reference or set points. The reconciliation unit performs a heuristic analysis against the actual measured data and the performance process model result using a set of predetermined threshold values.