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 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: This invention discloses method for feeding Hermetia illucens and used as for preparing composite material of puparium, which comprises the following steps: S1, dry Hermetia illucens pupariums and grind them into powdery, S2, adding powdery of Hermetia illucens pupariums into sodium hydroxide aqueous solution, stirring, separating and filtering, S3, adding the pupariums into hydrochloric acid solution, stirring, separating and filtering; S4, placing the pupariums into sodium hydroxide aqueous solution, stirring, separating and filtering; S5, drying the pupariums, and screening out the granular pretreated powder of the Hermetia illucens pupariums. The invention also disclose preparation method of composite material and thin film of Hermetia illucens pupariums and antibacterial and antimildew additive.

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: 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 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 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 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: A pump monitoring and notification system for a hydraulic pump includes an accelerometer and a controller. The accelerometer is associated with the hydraulic pump and is disposed relative to the hydraulic pump to generate acceleration data indicative of acceleration of the hydraulic pump. The controller is configured to access a fault threshold, access a time threshold, and determine an acceleration of the accelerometer based upon the acceleration data from the accelerometer. The controller is further configured to determine an RMS average of the acceleration of the accelerometer based upon the acceleration of the hydraulic pump, compare the RMS average of the acceleration of the accelerometer to the fault threshold, and generate an alert signal when the RMS average of the acceleration of the accelerometer exceeds the fault threshold for a time period exceeding the time threshold.

Abstract: A rig management system is disclosed. The rig management system may be configured to receive vibration data from a set of sensors installed on one or more elements of a hydraulic fracturing rig. The rig management system may be configured to perform a first processing of the vibration data utilizing a moving window technique to identify a possible failure of a set of bearings. The rig management system may be configured to perform a second processing utilizing a set of processing techniques after identifying the possible failure of the set of bearings. The rig management system may be configured to determine that the possible failure is an actual failure based on a result of performing the second processing. The rig management system may be configured to perform an action after determining that the possible failure is the actual failure.

Abstract: A system for detecting wear or failure of a genset coupling of a genset power system is provided. The system includes a vibration sensor for measuring vibrations, and an additional sensor for measuring an operating condition. A controller is configured to process operating condition data from the additional sensor using a modeling software to generate simulated data. The controller applies time domain information of at least one of the simulated data and vibration sensor data to the modeling software using a machine learning algorithm, and perform a comparison to identify wear or failure of the coupling, wherein, when performing the comparison, the controller compares at least one of: time domain information of the vibration sensor data to time domain information of the simulated data or frequency domain information of the vibration sensor data to frequency domain information of the simulated data, to identify wear or failure of the coupling.

Abstract: Some examples described herein may involve determining an advance timing window between the valve opening or closing and a designated time that the valve is scheduled to open or close; determining a closing velocity of the valve; monitoring an engine speed of the engine; determining valve lash information based on the advance timing window, the closing velocity, and the engine speed, wherein the valve lash information identifies a magnitude of the valve lash or whether the magnitude of the valve lash associated with the valve satisfies a threshold; and performing an action based on the valve lash information.

Abstract: A rig management system is disclosed. The rig management system may be configured to receive vibration data from a set of sensors installed on one or more elements of a hydraulic fracturing rig. The rig management system may be configured to perform a first processing of the vibration data utilizing a moving window technique to identify a possible failure of a set of bearings. The rig management system may be configured to perform a second processing utilizing a set of processing techniques after identifying the possible failure of the set of bearings. The rig management system may be configured to determine that the possible failure is an actual failure based on a result of performing the second processing. The rig management system may be configured to perform an action after determing that the possible failure is the actual failure.

Abstract: Some examples described herein may involve determining an advance timing window between the valve opening or closing and a designated time that the valve is scheduled to open or close; determining a closing velocity of the valve; monitoring an engine speed of the engine; determining valve lash information based on the advance timing window, the closing velocity, and the engine speed, wherein the valve lash information identifies a magnitude of the valve lash or whether the magnitude of the valve lash associated with the valve satisfies a threshold; and performing an action based on the valve lash information.

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: Methods and apparatus for predicting clutch local peak temperatures in real time and controlling engagement of a friction clutch are disclosed. The clutch local peak temperature prediction can take into account machine operating parameters such as clutch control current, clutch shaft speed and clutch load to determine clutch local peak temperatures at hot spots within the friction clutch. A thermal-mechanical finite element analysis model may be developed for the friction clutch and used to generate a surrogate model of the friction clutch that can be used by an electronic control module of the machine to predict the local peak temperature of the friction clutch in real time and control engagement and disengagement of the friction clutch to maintain the local peak temperature below a critical peak temperature above which damage to the components of the friction clutch may occur.