Abstract: A machine, including a bucket linkage that defines dig block constraints, including: a reach inside and outside limits; swing first and second limits; and a depth limit. Sensors can be positioned on the machine to count dig passes. One or more memory devices have instructions that when executed by one or more processors cause the processors to: generate an excavation plan, including: determining a number of elevations; determining a number of rings in each elevation; and determining a number of sectors in each ring; and direct the excavator to perform dig passes in order to sequentially excavate each sector, wherein the sectors in each elevation are excavated from the reach outside limit to the reach inside limit and from the swing first limit to the swing second limit; wherein the system moves to the next sector when a threshold number of dig passes is reached.

Abstract: A system for controlling the travel of a work machine during an excavation operation includes one or more sensors to generate one or more position parameters of the work machine. The position parameter includes a machine orientation and a machine location. The system includes a controller communicably coupled with the sensor. The controller receives the position parameter, collects data indicative of a desired movement path, and determines one or more operating parameters of the work machine to reach the desired location. The operating parameter includes one or more of a desired travel distance of the work machine, a maximum velocity of the work machine, and a desired travel direction of the work machine. The controller generates a first control signal for controlling the travel of the work machine, such that one or more components of the work machine is in alignment with the desired movement path.

Abstract: A method for providing improved composite work cycle damage estimates includes constructing a damage rate basis matrix, performing a D-optimal row selection calculation on the damage rate basis matrix, selecting, based on the D-optimal row selection calculation, a finite number of strain measurement device locations on the machine, extracting a target percentile damage rate for each of the one or more strain measurement devices, and using the extracted damage rates to solve for the unknown coefficients and verify the weightings assigned to the machine operations.

Abstract: A method for developing machine operation classifiers for a machine is disclosed. The method includes receiving training data associated with the machine from one or more on-board engineering channels associated with the machine and determining one or more training features based on the training data values. The method also includes determining one or more training labels associated with the one or more training features and building a predictive model for determining machine operation classifiers using a computer. Building the predictive model may include feeding the one or more training features and the one or more training labels associated with the one or more training features to a machine learning algorithm and determining a predictive model from the machine learning algorithm. The predictive model may be used for receiving new data associated with the machine and determining a predicted label based on the new data.

Abstract: A method for providing improved composite work cycle damage estimates includes constructing a damage rate basis matrix, performing a D-optimal row selection calculation on the damage rate basis matrix, selecting, based on the D-optimal row selection calculation, a finite number of strain measurement device locations on the machine, extracting a target percentile damage rate for each of the one or more strain measurement devices, and using the extracted damage rates to solve for the unknown coefficients and verify the weightings assigned to the machine operations.

Abstract: A method for aligning composite work cycle seventies to target percentile severity responses includes selecting a set of machines to be monitored for severity, applying an operation classification corresponding to one or more machine operations performed by each machine in the set of machines, applying a severity indexing system to the set of machines, constructing a distribution of severity responses associated with an operation classification, receiving data from one or more performed damage simulations or tests and mapping a selected range of test event seventies for the operation classification to corresponding target actual seventies for the operation based upon performance of the operation by the machine.

Abstract: Systems and methods for aggregating classifications of predictive operations of a machine may include one or more sensors in communication with a processor. Such systems and methods may be implemented to receive on-board machine time series data, process the data, segment the processed data, resolve the segmented data, and characterize the segmented data. Additionally, such systems and methods may be implemented to determine profile percentage breakdowns of a machine, performance reports, and productivity reports, and inform composite work cycles.

Abstract: A method for developing machine operation classifiers for a machine is disclosed. The method includes receiving training data associated with the machine from one or more on-board engineering channels associated with the machine and determining one or more training features based on the training data values. The method also includes determining one or more training labels associated with the one or more training features and building a predictive model for determining machine operation classifiers using a computer. Building the predictive model may include feeding the one or more training features and the one or more training labels associated with the one or more training features to a machine learning algorithm and determining a predictive model from the machine learning algorithm. The predictive model may be used for receiving new data associated with the machine and determining a predicted label based on the new data.

Abstract: The shower head comprises a housing (2) and a valve (V) disposed therein, said valve having a valve body (14) that is disposed in a water channel (33). The valve body is connected to an actuating body (3) and interacts with at least one valve seat (24, 25) for closing and/or opening or switching the water channel (33). A pulsator wheel (38) can be connected to the water channel (33) and is detachably locked to a switching body (40) that is operatively connected to the actuating body (3). The actuating body (3) is supported on the housing (2) rotatably about a longitudinal axis (45) of the valve body (14) and thus connected to the switching body (40) such that it can be adjusted with a rotational movement of the actuating body (3) about the longitudinal axis (45) in order to lock or release the pulsator wheel (38).

Abstract: The invention relates to a shower head which comprises a housing (2) wherein a valve (V), which comprises a closing body (10) which can be adjusted between two closing positions by changing the type of jet by means of an actuation device (19), is arranged. The actuation device (19) comprises a rotating wheel (33, 41, 51, 61, 71) which is arranged on the outer side of the housing (2), said rotating wheel being actively connected to the closing body (10) such that it can manually rotate in a limited manner in order to adjust the closing body (10). A valve pipe (3) is arranged in the housing (2), whereon the rotating wheel (33, 41, 51, 61, 71) is mounted in a rotationally limited manner. Said shower head can be manually actuated in a simple manner and can consist of very few parts.

Abstract: The valve has a valve housing (39), in which a valve body (26) is mounted displaceably and preferably rotatably about its longitudinal axis (A). It has at least one valve seat (53, 54), with which the valve body (26) interacts. A button (22) is operationally connected to the valve body (26) in order to displace the valve body (26) from a basic position into a working position. The valve body (26) is controlled in such a way that it is automatically locked releasably in the working position when its displacement from the basic position into the working position takes place.

Abstract: The valve has a valve housing (39), in which a valve body (26) is mounted displaceably and preferably rotatably about its longitudinal axis (A). It has at least one valve seat (53, 54), with which the valve body (26) interacts. A button (22) is operationally connected to the valve body (26) in order to displace the valve body (26) from a basic position into a working position. The valve body (26) is controlled in such a way that it is automatically locked releasably in the working position when its displacement from the basic position into the working position takes place.