Abstract: A method of monitoring operation of a shredder or health of a shredder component includes: setting a profile of a selected parameter of the shredder, wherein the profile includes a nominal value, a tolerance of the nominal value, and a predetermined range of the selected parameter outside the tolerance; obtaining an actual value of the selected parameter; comparing the actual value with the profile of the selected parameter; determining the operational condition of the shredder based on a comparison between the actual value and the profile of the selected parameter. The profile is obtained based on experimental data, statistics, or machine learning.

Abstract: A method includes obtaining stamping system data from a stamping system data controller and vibration data from one or more vibration sensors disposed at the conduit; selecting a baseline vibration threshold and a frequency filter from among a plurality of frequency filters based on the stamping system data; generating a plurality of measured vibration values based on the vibration data and the frequency filter, where each measured vibration value from among the plurality of measured vibration values is associated with a given iteration from among a plurality of iterations of a stamping process; determining whether the conduit is in an obstructed state based on a comparison between a set of measured vibration values from among the plurality of measured vibration values and the baseline vibration threshold; and performing a corrective action in response to the conduit being in the obstructed state.

Abstract: A system includes a computer numerical control (CNC) machining system configured to perform a machining operation to define a feature on a workpiece and a machine edge controller disposed external of the machining system and in communication with the CNC machine system. The machine edge controller is configured to perform a machining evaluation during the machining operation. In executing the machining evaluation, the machine edge controller is configured to acquire data indicative of characteristics of the CNC machining system during the machining operation and compare the data with one or more machining baseline parameters associated with the machining operation to determine an abnormal operation of the CNC machining system. The one or more machining baseline parameters define a nominal response of the CNC machining system for performing the machining operation.

Abstract: A machine or autonomous system includes a diagnostic controller and is configured to perform a method for monitoring health of a machine. The method includes monitoring a set of first electrical signals indicative of control of a motor of the machine while the machine is operated in a first autonomous mode, determining that an abnormal operating condition has occurred in response to the set of first electrical signals meeting a first criteria, having the machine operate in a test mode in response to the determination that the abnormal operating condition has occurred, monitoring a set of second electrical signals indicative of control of the motor during the test mode, and determining a fault condition in response to the set of second electrical signals meeting a second criteria.

Abstract: The present disclosure is directed toward a method that includes logging offset data of a machine over a period of operational time having varying thermal conditions, comparing the logged offset data against a thermal model, estimating offsets for the machine based on the comparing, and adjusting offsets of the machine during operation.

Abstract: A system includes a computer numerical control (CNC) machining system configured to perform a machining operation to define a feature on a workpiece and a machine edge controller disposed external of the machining system and in communication with the CNC machine system. The machine edge controller is configured to perform a machining evaluation during the machining operation. In executing the machining evaluation, the machine edge controller is configured to acquire data indicative of characteristics of the CNC machining system during the machining operation and compare the data with one or more machining baseline parameters associated with the machining operation to determine an abnormal operation of the CNC machining system. The one or more machining baseline parameters define a nominal response of the CNC machining system for performing the machining operation.

Abstract: A machine or autonomous system includes a diagnostic controller and is configured to perform a method for monitoring health of a machine. The method includes monitoring a set of first electrical signals indicative of control of a motor of the machine while the machine is operated in a first autonomous mode, determining that an abnormal operating condition has occurred in response to the set of first electrical signals meeting a first criteria, having the machine operate in a test mode in response to the determination that the abnormal operating condition has occurred, monitoring a set of second electrical signals indicative of control of the motor during the test mode, and determining a fault condition in response to the set of second electrical signals meeting a second criteria.

Abstract: The present disclosure is directed toward a method for monitoring health of a machining tool operable in a machining state to form a workpiece and a non-machining state. The method includes determining whether a machine health routine is to be performed based on a machine health record stored by the control system, and retrieving a non-machining cyclic schedule, in response to the machine health routine having to be performed, where the non-machining cyclic schedule defines a timetable for performing one or more maintenance routines. The method further includes identifying a primary maintenance routine from among the one or more maintenance routines based on the non-machining cyclic schedule, and scheduling the machine health routine with the primary maintenance routine.

Abstract: The present disclosure is directed toward a diagnostic method for a spindle arm of a machine. The method includes rotating the spindle arm of the machine at a first rotational speed, and acquiring, from an accelerometer, data indicative of a vibrational response of the spindle arm operating at the first rotational speed. The accelerometer is disposed along the spindle arm. The method further includes converting the vibrational response to a frequency based response to obtain a first frequency response, determining whether an amplitude of the first frequency response exceeds a diagnostic threshold, and performing a designated correction on the machine in response to the frequency response exceeding the diagnostic threshold.

Abstract: The present disclosure is directed toward a method for monitoring health of a machining tool operable in a machining state to form a workpiece and a non-machining state. The method includes determining whether a machine health routine is to be performed based on a machine health record stored by the control system, and retrieving a non-machining cyclic schedule, in response to the machine health routine having to be performed, where the non-machining cyclic schedule defines a timetable for performing one or more maintenance routines. The method further includes identifying a primary maintenance routine from among the one or more maintenance routines based on the non-machining cyclic schedule, and scheduling the machine health routine with the primary maintenance routine.

Abstract: The present disclosure is directed toward a diagnostic method for a spindle arm of a machine. The method includes rotating the spindle arm of the machine at a first rotational speed, and acquiring, from an accelerometer, data indicative of a vibrational response of the spindle arm operating at the first rotational speed. The accelerometer is disposed along the spindle arm. The method further includes converting the vibrational response to a frequency based response to obtain a first frequency response, determining whether an amplitude of the first frequency response exceeds a diagnostic threshold, and performing a designated correction on the machine in response to the frequency response exceeding the diagnostic threshold.

Abstract: The present disclosure is directed toward a method that includes logging offset data of a machine over a period of operational time having varying thermal conditions, comparing the logged offset data against a thermal model, estimating offsets for the machine based on the comparing, and adjusting offsets of the machine during operation.

Abstract: The present disclosure generally describes a method for processing a workpiece in a machine, where the method determines an offset of the machine and adjusts for the offset during production operation. In one form, the method includes logging offset data of the machine over a period of operational time having varying thermal conditions, and comparing the logged offset data against a thermal model, where the thermal model is generated based on a probing routine and dry cycling for a plurality of test cycles on a calibration artifact. Based on the comparing, the method estimates offsets for the machine and adjusts offsets of the machine during operation.

Abstract: The present disclosure generally describes a method for processing a workpiece in a machine, where the method determines an offset of the machine and adjusts for the offset during production operation. In one form, the method includes logging offset data of the machine over a period of operational time having varying thermal conditions, and comparing the logged offset data against a thermal model, where the thermal model is generated based on a probing routine and dry cycling for a plurality of test cycles on a calibration artifact. Based on the comparing, the method estimates offsets for the machine and adjusts offsets of the machine during operation.

Abstract: A system and method for setting machine limits include setting a limit for a machine parameter, setting a temporal operating range for the machine, and setting a temporal step. The machine is operated over the operating range and the machine parameter is measured. A first new limit for the machine parameter is set based at least in part on the measurements over the operating range. The operating range is advanced by the temporal step, and the machine parameter continues to be measured. Another new limit for the machine parameter is set based at least in part on the measurements over the operating range after the operating range has been advanced.

Abstract: A system and method for setting machine limits include setting a limit for a machine parameter, setting a temporal operating range for the machine, and setting a temporal step. The machine is operated over the operating range and the machine parameter is measured. A first new limit for the machine parameter is set based at least in part on the measurements over the operating range. The operating range is advanced by the temporal step, and the machine parameter continues to be measured. Another new limit for the machine parameter is set based at least in part on the measurements over the operating range after the operating range has been advanced.