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. The control signals are sent to controllers of the individual equipment to control the operations of those equipment and achieve an overall optimized fracking operation.
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 hydraulic fracturing system comprises a plurality of hydraulic fracturing rigs. Each hydraulic fracturing rig includes an engine, a transmission, and a hydraulic fracturing pump. A driveshaft is coupled between the transmission and the hydraulic fracturing pump to transfer torque from the engine to the hydraulic fracturing pump. The hydraulic fracturing system also includes a fuel consumption data for each hydraulic fracturing rig, and a controller. The controller is programmed to receive a total pump flow and pressure request, and identify a pump flow distribution for each hydraulic fracturing rig of the plurality of hydraulic fracturing rigs based on the total pump flow and pressure request and the fuel consumption data.
Abstract:
A power system for powering a load is provided. The power system includes a plurality of power sources with each power source including an engine. A SCR system is associated with the engine of at least one of the plurality of power sources. A controller is in communication with the plurality of power sources. The controller is configured to receive engine operation information, emission output information associated with each engine and conversion efficiency information associated with the SCR system and selectively apportion the power demand presented by the load between each of the plurality of power sources based on minimizing total engine emissions across the plurality of power sources and using the engine operation information, the emission output information and the conversion efficiency information.
Abstract:
A leak detection system for an engine air system is provided. The leak detection system may include a plurality of pressure sensors configured to retrieve pressure data from the engine air system, a plurality of temperature sensors configured to retrieve temperature data from the engine air system, and a controller in communication with each of the pressure sensors and the temperature sensors. The controller may be configured to receive the pressure data and the temperature data, compare the pressure data and the temperature data to one or more predefined data trends, and identify a leak within the engine air system based on the comparison.
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 system for detecting leakage in a pump includes a first pressure sensor, a second pressure sensor, multiple third pressure sensors, and a controller. The first pressure sensor is configured to output a pressure value associated with a suction manifold of the pump. The second pressure sensor is configured to output a pressure value associated with a discharge manifold of the pump. The third pressure sensors are configured to output a pressure value associated with the cylinders of the pump. The controller is disposed in communication with the first pressure sensor, the second pressure sensor, and the third pressure sensors. The controller is configured to determine amplitude of a leak, and a location of the leak in the pump on the basis of pressure values received from the first pressure sensor, the second pressure sensor, and the third pressure sensors.
Abstract:
In an engine system of a machine having a multi fuel engine system, the occurrence of transient events such as gear shifts, grade changes and machine speed changes may be anticipated, and a fuel substitution strategy may be adjusted if necessary to optimize performance during the transient events. Transient events at a worksite may be anticipated and mapped by evaluating shift control logic strategies and worksite maps with truck route, speed and topographical information and determining where the fuel substitution strategy cannot meet the power requirements for the transient event. When it is determined that the machine is approaching an anticipated transient event, an appropriate fuel substitution adjustment can be executed to ensure the engine has sufficient power for the transient event.
Abstract:
An adaptive control system for a machine implement is provided. The adaptive control system includes a machine implement of a machine and an adaptive controller operatively coupled to the machine implement. The adaptive controller includes a processor configured to receive a position of the machine implement relative to a terrain from at least one position detection system, receive data regarding operating conditions of the terrain, compare the position with a target position stored in a memory, compare the data regarding the operating conditions with data stored in a reference model of the terrain stored in the memory, and adjust the position of the machine implement based upon the comparisons and based upon an updated reference model of the operating conditions of the terrain.