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 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 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 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: A system for managing a pump arrangement is provided. The system may include at least one pressure sensor configured to generate a pressure signal indicative of a pump pressure of a targeted pump within the pump arrangement, and at least one controller in electrical communication with the pressure sensor. The controller may be configured to receive the pressure signal from the pressure sensor, apply a band pass filter on the pressure signal to filter frequencies associated with untargeted pumps, isolate at least a base frequency of the filtered pressure signal, and detect at least the pump pressure of the targeted pump based on the base frequency.

Abstract: A component health monitoring system may include an optical system configured to irradiate an area containing a work implement and including a surface of a component to be inspected in a position mounted on the work implement, and a sensor configured to capture a target image of the area. An image processor may receive the target image from the sensor and analyze the target image, determine a first feature set including directional changes in image intensity for the target image, retrieve a reference image from a memory, and determine a second feature set for the reference image. The image processor may also build and train a model for use by a classifier that segregates feature sets determined from a plurality of target images into a first classification that includes features that characterize a portion of an image including the component with dimensions that fall within acceptable thresholds, and a second classification.

Abstract: A method for path detection associated with ground engaging teeth of an implement is the provided. The method includes receiving, by a controller, an image feed of a dump operation being performed by the implement. The method includes detecting the ground engaging teeth in each of the plurality of frames. The method includes analyzing a path traced by the ground engaging teeth over the plurality of frames. The method includes determining the path traced by the ground engaging teeth based on aggregated path information. The method includes comparing the determined path traced by the ground engaging teeth with a pre-determined path. The method includes identifying if at least one of the ground engaging teeth is missing based on the comparison The method includes providing a notification of the missing ground engaging teeth based on the identification.

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: A method for identifying a mode of failure in a pump includes receiving and recording a first set of flow rate pressure values over a specified time period to determine an existing hydraulic signature of the pump. The method then includes receiving and recording real-time flow rate pressure values over a subsequent period of time to determine a current hydraulic signature of the pump. The method further includes comparing the real-time flow rate pressure values to the first set of flow rate pressure values to detect variances in the hydraulic signature and output a mode of failure for the pump.

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.