Abstract: A control system identifies preferred performance information associated with a hydraulic fracturing system; and obtains engine operation information associated with a plurality of engines included in a plurality of respective pump systems of the hydraulic fracturing system. The control system identifies, based on the engine operation information, a set of one or more engines, of the plurality of engines, that are utilizing gaseous fuel and/or that are capable of utilizing gaseous fuel, and obtains methane number information associated with the set of one or more engines. The control system selects, based on the preferred performance information and the methane number information, a set of one or more operation optimization maps, determines, based on the set of one or more operation optimization maps and the engine operation information, control information associated with the plurality of pump systems. The control system controls, based on the control information, the plurality of pump systems.

Abstract: A system may determine configuration information associated with a power system for a work site that includes one or more power sources. The system may determine respective operation parameters of the one or more power sources and one or more performance criteria associated with the power system. The system may determine a baseline operation plan for the power system. The system may identify an optimization analysis technique and may process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The system may cause, based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed.

Abstract: A method may include receiving information related to operation or a configuration of a hydraulic fracturing system. The hydraulic fracturing system may include a plurality of electric power source outputs and a plurality of hydraulic fracturing rigs. The method may further include performing, based on the information, asymmetric power management of the plurality of electric power source outputs. The method may further include performing, based on the information, asymmetric load management of the plurality of hydraulic fracturing rigs.

Abstract: A method may include receiving information related to operation or a configuration of a hydraulic fracturing system. The hydraulic fracturing system may include a plurality of electric power source outputs and a plurality of hydraulic fracturing rigs. The method may further include performing, based on the information, asymmetric power management of the plurality of electric power source outputs. The method may further include performing, based on the information, asymmetric load management of the plurality of hydraulic fracturing rigs.

Abstract: A method may include receiving a set of inputs for operation of at least one electric hydraulic fracturing rig and at least one mechanical hydraulic fracturing rig of a hydraulic fracturing system. The method may further include optimizing operation of the at least one electric hydraulic fracturing rig and the at least one mechanical hydraulic fracturing rig based on at least the set of inputs. The method may further include iterating the optimization using a cost function for an operation mode of the hydraulic fracturing system.

Abstract: A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.

Abstract: An automated hydraulic fracturing system and method for controlling various aspects of a fracking operation is disclosed. A master controller receives various operating parameters, such as desired operating conditions, information about a fracking site, information about trailers and/or other equipment at the fracking site, and/or sensor signals. The master controller may access one or more trailer model(s) that model various parameters of equipment (e.g., engines, transmissions, pumps, trailers, etc.) at the fracking site as a function of controlled operating conditions. The master controller uses the trailer models in conjunction with operating parameters to generate control signals that automatically control the various equipment at the fracking site to optimize various desired outcomes, such as reduced operating costs, reduced emissions, reduced idle time, increased efficiency, etc.

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.

Abstract: A detection system for detecting winding faults, such as inter-turn winding faults in the stator and/or rotor of an electrical generator utilizes one or more vibration sensors that can be located on a generator housing. The vibration sensors make mechanical vibration measurements and transmit them to a fault analyzer. The fault analyzer can compare the measured vibrations with a threshold to determine if a winding is occurring. In an embodiment, the fault analyzer can convert the mechanical vibration measurements from the time domain to a frequency domain to facilitate analysis.

Abstract: A control system implementing a hybrid energy storage system (ESS) optimization strategy is disclosed. The hybrid ESS optimization strategy may be implemented in a machine that comprises a power system that includes a plurality of power sources and a power controller that includes one or more processors. The power controller may receive information related to a set of brake-specific fuel consumption (BSFC) maps associated with the plurality of power sources, determine a performance indicator using a cost function associated with the plurality of power sources, and generate a command to operate the power system based on a power distribution that minimizes an energy cost to operate the power system based on the information related to the set of BSFC maps, the performance indicator, and a load associated with the power system.

Abstract: A hydraulic fracturing machine includes a pump failure detection system. The hydraulic fracturing machine includes a hydraulic fracturing pump with a power end and a fluid end. The power end includes a plurality of roller bearings, and the fluid end includes a flow of fluid. A particle sensor coupled to the power end is configured to transmit particle information regarding a quantity of particles in the fluid. A temperature sensor, also coupled to the power end, is configured to transmit temperature information regarding a temperature of the fluid. A vibration sensor coupled to the power end is configured to transmit vibration information regarding a vibration of each of the plurality of roller bearings. An electronic control module analyzes the particle information, the temperature information and the vibration information, and calculates a failure warning level based on the analysis.

Abstract: A system and method for protecting a genset from pole slip is disclosed. The system may comprise a generator, a prime mover and a controller. The generator includes a stator and a rotor. The prime mover is configured to drive rotation of the rotor. The controller may be configured to: determine mechanical status of the generator based on data associated with a translational displacement of the rotor; determine electrical status of the generator based on (a) a load angle or (b) the load angle and a rate of change of the load angle associated with rotation of the rotor in the stator; determine an operating condition of the generator based on fusion of the mechanical status and the electrical status; if the operating condition is a pole-slip-warning, activate an output member to display or emit a warning; and, if the operating condition is a pole-slip, activate a protective action.

Abstract: An automated hydraulic fracturing system and method for controlling various aspects of a fracking operation is disclosed. A master controller receives various operating parameters, such as desired operating conditions, information about a fracking site, information about trailers and/or other equipment at the fracking site, and/or sensor signals. The master controller may access one or more trailer model(s) that model various parameters of equipment (e.g., engines, transmissions, pumps, trailers, etc.) at the fracking site as a function of controlled operating conditions. The master controller uses the trailer models in conjunction with operating parameters to generate control signals that automatically control the various equipment at the fracking site to optimize various desired outcomes, such as reduced operating costs, reduced emissions, reduced idle time, increased efficiency, etc.

Abstract: A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.

Abstract: A method for adjusting a valve lash in an internal combustion engine includes receiving a first signal generated by a sensor secured to the internal combustion engine, the first signal being indicative of a closing of a valve, receiving a second signal indicative of at least one of an engine speed of the internal combustion engine or a position of a camshaft of the internal combustion engine, and automatically determining an adjusted amount of lash associated with the valve based on the received first signal and the received second signal. The method also includes comparing the adjusted amount of lash to at least one predetermined threshold, and providing, in response to determining that the adjusted amount of lash is greater than the at least one predetermined threshold, a valve lash re-adjustment notification.

Abstract: A device may receive a power demand for a load and a weather forecast for a time period. The device may determine a first supply of power available from a photo-voltaic (PV) installation for the time period based on the weather forecast. The device may determine a power deficit for the time period based on the power demand and the first supply of power. The device may determine a first cost associated with utilizing a second supply of power available from a battery and a second cost associated with utilizing a third supply of power available from an engine for the time period. The device may determine a power source to overcome the power deficit based on the first cost and the second cost and may cause the PV installation and the power source to supply power to satisfy the power demand for the load.

Abstract: A method for adjusting a valve lash in an internal combustion engine includes receiving a first signal generated by a sensor secured to the internal combustion engine, the first signal being indicative of a closing of a valve, receiving a second signal indicative of at least one of an engine speed of the internal combustion engine or a position of a camshaft of the internal combustion engine, and automatically determining an adjusted amount of lash associated with the valve based on the received first signal and the received second signal. The method also includes comparing the adjusted amount of lash to at least one predetermined threshold, and providing, in response to determining that the adjusted amount of lash is greater than the at least one predetermined threshold, a valve lash re-adjustment notification.

Abstract: A fluid degradation monitoring system may detect a replacement of a fluid of a machine. The fluid degradation monitoring system may determine, after detecting the replacement of the fluid, a first degradation estimate of the fluid using a first technique based on characteristics relating to an operation of the machine. The fluid degradation monitoring system may detect a transition in a value of a dielectric constant of the fluid from a first phase to a second phase. The fluid degradation monitoring system may determine, after detecting the transition in the value of the dielectric constant, a second degradation estimate of the fluid using a second technique based on characteristics relating to the fluid.

Abstract: A detection system for detecting winding faults, such as inter-turn winding faults in the stator and/or rotor of an electrical generator utilizes one or more vibration sensors that can be located on a generator housing. The vibration sensors make mechanical vibration measurements and transmit them to a fault analyzer. The fault analyzer can compare the measured vibrations with a threshold to determine if a winding is occurring. In an embodiment, the fault analyzer can convert the mechanical vibration measurements from the time domain to a frequency domain to facilitate analysis.

Abstract: A device may receive a power demand for a load and a weather forecast for a time period. The device may determine a first supply of power available from a photo-voltaic (PV) installation for the time period based on the weather forecast. The device may determine a power deficit for the time period based on the power demand and the first supply of power. The device may determine a first cost associated with utilizing a second supply of power available from a battery and a second cost associated with utilizing a third supply of power available from an engine for the time period. The device may determine a power source to overcome the power deficit based on the first cost and the second cost and may cause the PV installation and the power source to supply power to satisfy the power demand for the load.