Abstract: The present disclosure is directed to an integrated drive module assembly with vibration-based anomaly detection. The integrated drive module assembly may include a motor coupled to a drive module. The drive module may provide electric power to the motor for operation. Moreover, the drive module may provide control signals to control operations of the motor. The drive module may include an accelerometer and a processing circuit. The processing circuit may determine baseline vibration profiles of the motor during operation using the accelerometer. Subsequently, the processing circuit may determine anomaly conditions of the motor based on comparing the vibrations of the motor with the baseline vibration profiles. Accordingly, the integrated drive module assembly may facilitate performing countermeasures with low latency based on detecting the anomaly conditions using the accelerometer when the drive module is coupled to the motor.

Abstract: Systems and methods described herein may relate to a system including a plurality of industrial devices that each perform one or more operations within an industrial automation system having a plurality of hierarchical levels. Each of the plurality industrial devices may include a compute surface able to perform software tasks. The system may include a system of processors that receives trigger event data from a device corresponding to a first hierarchical level of the plurality of hierarchical levels. In addition, the system of processors is configured to identify a target device associated with additional data associated with the trigger event data, deploy a container to the target device, generate a data pattern based on the trigger event data and the acquired additional data, determine a remedial action associated with the trigger event data based on the data pattern, and instruct a device to implement the remedial action.

Abstract: A method and system for communication between a motor controller and an analytic module includes a Single Pair Ethernet interface with power supplied over the two data lines. The analytic module, in turn, connects to a motor or other devices proximate the motor. The analytic module receives input signals from the motor or different types of sensors or devices. A processing unit in the analytic module may perform some initial processing on the incoming data. The processing unit is configured to transmit either the raw input signals or processed data via the Single Pair Ethernet connection back to the motor controller or to other controllers in the system with the motor controller acting solely as a pass-through gateway. The analytic module unit may be configured to transmit data at different update rates. One of the update rates may be synchronized to an update period in the motor controller.

Abstract: Systems and methods described herein may relate to a system including a plurality of industrial devices that each perform one or more operations within an industrial automation system having a plurality of hierarchical levels. Each of the plurality industrial devices may include a compute surface able to perform software tasks. The system may include a system of processors that receives trigger event data from a device corresponding to a first hierarchical level of the plurality of hierarchical levels. In addition, the system of processors is configured to identify a target device associated with additional data associated with the trigger event data, deploy a container to the target device, generate a data pattern based on the trigger event data and the acquired additional data, determine a remedial action associated with the trigger event data based on the data pattern, and instruct a device to implement the remedial action.

Abstract: The present disclosure is directed to an integrated drive module assembly with vibration-based anomaly detection. The integrated drive module assembly may include a motor coupled to a drive module. The drive module may provide electric power to the motor for operation. Moreover, the drive module may provide control signals to control operations of the motor. The drive module may include an accelerometer and a processing circuit. The processing circuit may determine baseline vibration profiles of the motor during operation using the accelerometer. Subsequently, the processing circuit may determine anomaly conditions of the motor based on comparing the vibrations of the motor with the baseline vibration profiles. Accordingly, the integrated drive module assembly may facilitate performing countermeasures with low latency based on detecting the anomaly conditions using the accelerometer when the drive module is coupled to the motor.

Abstract: A method and system for communication between a motor controller and an analytic module includes a Single Pair Ethernet interface with power supplied over the two data lines. The analytic module, in turn, connects to a motor or other devices proximate the motor. The analytic module receives input signals from the motor or different types of sensors or devices. A processing unit in the analytic module may perform some initial processing on the incoming data. The processing unit is configured to transmit either the raw input signals or processed data via the Single Pair Ethernet connection back to the motor controller or to other controllers in the system with the motor controller acting solely as a pass-through gateway. The analytic module unit may be configured to transmit data at different update rates. One of the update rates may be synchronized to an update period in the motor controller.

Abstract: A system and method for real-time detection of anomalies in a motor drive includes a controller receiving one or more signals corresponding to real-time operation of a controlled system. The controller samples the real-time signal during operation of the controlled system and maintains a moving window of the sampled data. A signature of the sampled data within the moving window is then generated. Each signature corresponds to operation of the controlled system within the period of time defined by the moving window. An identifier and a number of occurrences of each signature may be stored with the signature. An initial table of expected signatures may be generated, for example, by executing a training, or learning, period within the control system. The controller compares each real-time signature against the table of expected signatures to detect the occurrence of an anomaly.