Abstract:
A maintenance optimization control system for load sharing between includes a first engine having an associated first criteria, a second engine having an associated second criteria, and a load having a steady component and a transient component. The control system includes a controller communicably coupled to the first engine, the second engine and the load. The controller selects an engine from the first engine and the second engine based at least on the first criteria and the second criteria. The controller distributes the load between the first engine and the second engine such that only the selected engine is operated under transient component of the load.
Abstract:
A system for detecting an abnormal operating condition of a component of a genset power system, which includes an engine drivingly coupled to a generator, is provided. The system also includes at least one vibration sensor configured to measure vibrations of the genset power system, and a controller. The controller is programmed to receive vibration sensor data from the vibration sensor, and process the vibration sensor data using a modeling software to generate simulated data. The simulated data is filtered using frequency-based filtering to obtain filtered data, and frequency domain information of the filtered data is compared to threshold data to identify the abnormal operating condition of the component.
Abstract:
A method for automatic tuning of a reference model for a fracking rig pump is provided. The method includes determining, at a processor connected to a fracking rig pump, a current choke area associated with the fracking rig pump based upon at least a maximum power and a maximum pressure obtained from the fracking rig pump for a pump speed of the fracking rig pump, obtaining a pump power and a pump pressure for the current choke area based upon at least a reference model for the fracking rig pump stored in a memory device coupled to the processor, determining a pressure difference between the maximum pressure obtained from the fracking rig pump and the pump pressure, determining a power difference between the maximum power obtained from the fracking rig pump and the pump power obtained from the reference model, and providing an updated choke area to the reference model.
Abstract:
A method for detecting a leak in a pump comprises: monitoring discharge pressure time domain signals of the pump; monitoring piston position time domain signals for each piston of a plurality of pistons; filtering the monitored discharge pressure time domain signals and the monitored piston position time domain signals of each piston of the plurality of pistons via a band pass filter; determining, at each pump revolution for each piston, a sum of product of the filtered discharge pressure time domain signals and the filtered piston position time domain signals; determine, at each pump revolution for each piston, an absolute value of each sum; determining, at each pump revolution, a largest absolute value of the determined absolute values; determining a corresponding piston of the plurality of pistons associated with the largest absolute value; and determining a cylinder of the pump associated with the determined corresponding piston as leaking.
Abstract:
A method for detecting faults in a pump includes: monitoring suction pressure and discharge pressure time domain signals, filtering the monitored suction pressure time domain signals and the discharge pressure time domain signals via a band pass filter, performing Fast Fourier Transform on the filtered suction pressure time domain signals and the discharge pressure time domain signals for conversion to suction pressure frequency domain signals and discharge pressure frequency domain signals, respectively, performing root mean square calculations on the suction pressure frequency domain signals and the discharge pressure frequency domain signals, analyzing the root mean square suction pressure frequency domain signals and the root mean square discharge pressure frequency domain signals to determine a performance index, and comparing the performance index against a predetermined cavitation threshold to determine whether cavitation exists.
Abstract:
A hydraulic fracturing system with pump failure detection includes an engine, transmission, hydraulic fracturing pump and a driveshaft coupled between the transmission and the hydraulic fracturing pump to transfer torque from the engine to the hydraulic fracturing pump. A torque sensor is positioned and configured to measure torque acting on the driveshaft, with the torque sensor generating torque measurement data. A controller is programmed to analyze the torque measurement data and identify a pump failure mode based on the torque measurement data.
Abstract:
A system for monitoring a pump, while the pump operates at a worksite, is disclosed. The system includes one or more sensors, wherein each of the one or more sensors is associated with the pump and is configured to collect high frequency data associated with the pump. The system further includes a field-programmable gate array (FPGA) controller configured to receive the high frequency data from the one or more sensors and is also configured to generate low frequency data based on the high frequency data. The system further includes a low frequency controller configured to receive the low frequency data from the FPGA controller and configured to transmit the low frequency data to a monitor.
Abstract:
A system associated with an implement of a machine is provided. The system includes a plane determination module configured to determine a track plane based on a relationship between at least two tracks of the machine. The system also includes an implement control module. The implement control module is configured to compute a location of two or more blade tip points of the implement of the machine in three dimensional space based on at least one constraint of a geometry of the implement. The implement control module is also configured to determine a blade tip point plane based on a relationship between at least two blade tip points of the implement. The implement control module is further configured to compare the blade tip point plane with the track plane and determine if the blade tip point plane is parallel to the track plane based on the comparison.
Abstract:
A prognosis and diagnosis system for a pump includes a reference dataset, a historical dataset, a data acquisition engine (DAE), and a comparison engine. The reference dataset includes theoretical values obtained for at least one performance parameter pertaining to the pump. The historical dataset includes data values for the at least one performance parameter based on historical performance of the pump when the frac rig pump was operating under healthy and normal operating conditions. The DAE is configured to obtain real-time values for the at least one performance parameter that are measured during a current operating condition of the pump. The comparison engine is configured to selectively output a mode of failure based upon a comparison between the real-time values and at least one of the theoretical values from the reference dataset and the data values from the historical dataset.
Abstract:
An electronic control module (ECM) on-board a machine executes a reduced-order model configured to generate virtual sensor data associated with a machine component based on sensor data measured by actual sensors. The ECM can also execute a machine learning model configured to generate offset data for the sensor data and/or the virtual sensor data, based on operating conditions, an age of the machine component, and/or other factors that the reduced-order model may not consider. The sensor data and/or the virtual sensor data, adjusted based on the offset data, can indicate whether the machine component has failed or is predicted to fail at a future point in time, and/or a remaining usable life of the machine component.