A system includes sensors for monitoring pressure, flow, pump speed, temperature, and/or other signals at the output of a main hydraulic pump, and a processing system executes one or more methods for identification of hydraulic system events, from the signals, corresponding to state changes and performance of the system and/or its subcomponents. Event identification is performed with classification and/or other machine learning algorithms, with generation of novel training data sets. The sensor(s) can also be used to determine power consumption information about the system and/or its subcomponents. The system processes event-associated outputs for execution of actions for improving system performance, along with other downstream applications.

A dual mode control system for a work vehicle includes a hydraulic system configured to drive a loader assembly and a dozer assembly coupled to the work vehicle. The hydraulic system includes a fluid delivery system comprising a plurality of flow paths fluidly coupled to a hydraulic pump. The hydraulic system includes a valve assembly configured to regulate diversion of fluid into a first and a second hydraulic cylinders coupled to the fluid delivery system to adjust the loader assembly, or into a third cylinder coupled to the fluid delivery system to adjust the dozer assembly. The dual mode control system also includes a controller operably coupled to the valve assembly, and one or more user interfaces coupled to the controller to enable an operator to provide inputs to cause the controller to adjust the valve assembly, and to thereby adjust the loader assembly or the dozer assembly.

A system includes sensors for monitoring pressure, flow, pump speed, temperature, and/or other signals at the output of a main hydraulic pump, and a processing system executes one or more methods for identification of hydraulic system events, from the signals, corresponding to state changes and performance of the system and/or its subcomponents. Event identification is performed with classification and/or other machine learning algorithms, with generation of novel training data sets. The sensor(s) can also be used to determine power consumption information about the system and/or its subcomponents. The system processes event-associated outputs for execution of actions for improving system performance, along with other downstream applications.

A method for the control of a ram movement and ram forces of multi-point servo hybrid presses, where the positions, speeds and forces to drive the ram can be controlled independently of each other by the servo motor, which is assigned to each pressure point or each group of pressure points, for the main drive for the ram movement in the main function and the hydraulic pressure cushions, which are separately assigned to each pressure point of the ram, in an auxiliary function, to influence process-induced position and force settings of the ram in a combinatory interaction to achieve an active control of draw depth and tilt.

To utilize and protect a mechanical load torque range of a servo drive in combination with a pump, a control unit is given a target system pressure as a reference variable and an actual system pressure as a control variable. An electric motor torque acting on a pump of the servo drive is specified by the control unit to an electric motor of the servo drive, a volume flow at the hydraulic load is generated by the pump, by which a mechanical load torque sets it at the electric motor and the actual system pressure is produced in the hydraulic load via the volume flow. A dynamic system variable of the hydraulic system is transmitted to the limiting unit. The limiting unit limits the motor torque transmitted by the control unit to the electric motor as a function of the value of the system variable.

This disclosure presents processes for controlling a hydraulic fracturing operation at a wellbore. The processes can determine power available from each of one or more individual power sources. From the determined power available from the power sources, parasitic power losses, existing power consumed by one or more loads of the hydraulic fracturing operation, a threshold power level, or a combination thereof, the processes can determine an incremental power available to the one or more loads. The processes communicate the incremental power available to the one or more loads. The hydraulic fracturing operation is then controlled by processes based on the incremental power available to the one or more loads.

A dual mode control system for a work vehicle includes a hydraulic system configured to drive a loader assembly and a dozer assembly coupled to the work vehicle. The hydraulic system includes a fluid delivery system comprising a plurality of flow paths fluidly coupled to a hydraulic pump. The hydraulic system includes a valve assembly configured to regulate diversion of fluid into a first and a second hydraulic cylinders coupled to the fluid delivery system to adjust the loader assembly, or into a third cylinder coupled to the fluid delivery system to adjust the dozer assembly. The dual mode control system also includes a controller operably coupled to the valve assembly, and one or more user interfaces coupled to the controller to enable an operator to provide inputs to cause the controller to adjust the valve assembly, and to thereby adjust the loader assembly or the dozer assembly.

A NC machine for stretch bending and monitoring method for clamping force of round clamp thereof is invented, which includes a round head clamp, a hydraulic system and a clamping force monitoring device. The round head clamp includes a housing, an internal module arranged in the housing and a positioning member for positioning the internal module in the housing. The hydraulic system includes a hydraulic rod and a hydraulic ram for pushing the hydraulic rod. The clamping force monitoring device includes a sensor and a data processing module. The present invention is suitable for the workpiece of different shapes and sizes. In this invention, the clamping force can be adjusted in real time when it needs to be changed, and this not only can avoid the problems of excessive energy consumption, excessive clamping marks and damage of the workpiece, but also save energy and protect the workpiece.

A dual mode control system for a work vehicle includes a hydraulic system configured to drive a loader assembly and a dozer assembly coupled to the work vehicle. The hydraulic system includes a fluid delivery system comprising a plurality of flow paths fluidly coupled to a hydraulic pump. The hydraulic system includes a valve assembly configured to regulate diversion of fluid into a first and a second hydraulic cylinders coupled to the fluid delivery system to adjust the loader assembly, or into a third cylinder coupled to the fluid delivery system to adjust the dozer assembly. The dual mode control system also includes a controller operably coupled to the valve assembly, and one or more user interfaces coupled to the controller to enable an operator to provide inputs to cause the controller to adjust the valve assembly, and to thereby adjust the loader assembly or the dozer assembly.

A system includes sensors for monitoring signals, and a processing system executes one or more methods for identification of system events, from the signals, corresponding to state changes and performance of the system and/or its subcomponents. Event identification is performed with classification and/or other machine learning algorithms, with generation of novel training data sets. The sensor(s) can also be used to determine power consumption information about the system and/or its subcomponents. The system processes event-associated outputs for execution of actions for improving system performance, along with other downstream applications.