Example implementations described herein are directed to systems and methods for predictive maintenance with health indicators using reinforcement learning. An example implementation includes a method to receive sensor data, operational condition data, and failure event data and generate a model to determine health indicators that indicate equipment performance based on learned policies, state values, and rewards. The model is applied to external sensor readings and operating data for a piece of equipment to output a recommendation based on the model.

Systems, methods, and devices for monitoring operation of industrial equipment are disclosed. In one embodiment, a monitoring system is provided that includes a passive backplane and one more functional circuits that can couple to the backplane. Each of the functional circuits that are coupled to the backplane can have access to all data that is delivered to the backplane. Therefore, resources (e.g., computing power, or other functionality) from each functional circuits can be shared by all active functional circuits that are coupled to the backplane. Because resources from each of the functional circuits can be shared, and because the functional circuits can be detachably coupled to the backplane, performance of the monitoring systems can be tailored to specific applications. For example, processing power can be increased by coupling additional processing circuits to the backplane.

A motion control program is provided which causes a computer to function as: a channel management unit on a real-time OS that creates an operation channel common to a plurality of reception units on a shared memory; the plurality of reception units on a non-real-time OS each of which instructs via the operation channel, when receiving a preparation instruction from a user-created programs associated with the each reception unit, a generation unit to generate a control command channel; the channel management unit on the real-time OS that creates, on the shared memory, a control command channel associated with the user-created program that has provided the preparation instruction; the reception unit on the non-real-time OS that receives a control command from the user creation program and stores control command information indicating a content of the received control command, in the control command channel; and a fixed-cycle processing unit on the real-time OS that transmits an interpolation command to a control target device for each motion control cycle, based on the control command information obtained from the control command channel.

A motion control program is provided which causes a computer to function as: a channel management unit on a real-time OS that creates an operation channel common to a plurality of reception units on a shared memory; the plurality of reception units on a non-real-time OS each of which instructs via the operation channel, when receiving a preparation instruction from a user-created programs associated with the each reception unit, a generation unit to generate a control command channel; the channel management unit on the real-time OS that creates, on the shared memory, a control command channel associated with the user-created program that has provided the preparation instruction; the reception unit on the non-real-time OS that receives a control command from the user creation program and stores control command information indicating a content of the received control command, in the control command channel; and a fixed-cycle processing unit on the real-time OS that transmits an interpolation command to a control target device for each motion control cycle, based on the control command information obtained from the control command channel.

Tracking of measured depth with intervening depositing of one or more layers provides a way of improving the accuracy of surface reconstruction. For example, knowledge of the desired or expected thickness of each layer, in combination with the scan data is combined to yield higher accuracy than is available from scan data of a single scan alone. One application of such an accurate surface reconstruction is in a feedback arrangement in which the desired thickness of one or more subsequent layers to be deposited after scanning is determined from the estimate of the surface depth and a model of the object that is being fabricated, and by increasing accuracy of the surface depth estimate, the precision of the fabrication of the object may be increased.

Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive a dataset associated with an assembly line. The dataset includes a classification for each of the plurality of products produced by the assembly line, where the assembly line is associated with a plurality of tests. The electronic processor is also configured to determine a set of test combinations for the assembly line based on the plurality of tests and, for each test combination, determine a number of missing products based on the classification for each of the plurality of products. The electronic processor is also configured to determine at least one test to remove based on the number of missing products for each test combination and output a result including an indication of the at least one test to remove.

Provided is cam curve generating device that generates a cam curve that is smoothly connected to an out-section cam curve and reduces fluctuations in speed of a driven shaft and acceleration of the driven shaft. Cam curve generating device includes section divider that divides an application section into a plurality of sub-sections, and cam curve generator that generates a cam curve in the application section. The division condition includes a length and the type of each of the plurality of sub-sections. The boundary condition includes a position, speed, and acceleration of the driven shaft at each of a start and an end of the application section. Cam curve generator generates a cam curve that allows a position of the driven shaft, speed of the driven shaft, and acceleration of the driven shaft to be continuous at each of boundaries of the plurality of sub-sections.

Provided is cam curve generating device that generates a cam curve that is smoothly connected to an out-section cam curve and reduces fluctuations in speed of a driven shaft and acceleration of the driven shaft. Cam curve generating device includes section divider that divides an application section into a plurality of sub-sections, and cam curve generator that generates a cam curve in the application section. The division condition includes a length and the type of each of the plurality of sub-sections. The boundary condition includes a position, speed, and acceleration of the driven shaft at each of a start and an end of the application section. Cam curve generator generates a cam curve that allows a position of the driven shaft, speed of the driven shaft, and acceleration of the driven shaft to be continuous at each of boundaries of the plurality of sub-sections.

For personalizing a vessel stent, images associated with a subject generated by various imaging modalities are aggregated. The images are then processed for identifying Regions of Interest (ROIs) and various parameters associated with the ROIs. Further, a model and a composition of the vessel stent to be administered to the subject to alleviate the condition in the vessel are computed. Thereafter, the model is verified for compatibility using information derived from patient stratification parameters. Upon successful verification of the model, a format of the model is generated that can be used directly for fabricating the vessel stent using additive manufacturing processes known in the art.

A method for electrically producing a stalled state in a stepper motor having a first coil and a second coil is provided. The method includes driving a first sinusoidal current through the first coil, and driving a second sinusoidal current through the second coil, wherein the first and second sinusoidal currents are in phase.