Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

A numerical control device including a CPU for numerical control, a CPU for HMI, a display circuit and a restarting circuit configured to restart the CPU for HMI using the CPU for numerical control. The numerical control device further includes a display task monitoring unit, a determination unit configured to determine an abnormality of the operation condition of the display task by the CPU for HMI, using the display task monitoring unit, and a restarting unit configured to restart the CPU for HMI based on a determination result by the determination unit.

A fault tolerant controller system includes a first controller and a second controller. One of the first and second controllers designated as a primary controller for generating control signals intended to control actuation devices on a vehicle under non-fault operating conditions, and the other of the first and second controllers designated as a secondary controller generating control signals intended to control actuation devices on the vehicle. The actuation devices are responsive only to the designated primary controller. An error is detected in the primary controller and a message is transmitted from the faulty controller to the non-faulty controller identifying the error. The non-faulty controller is subsequently designated as the primary controller. The control signals including an identifier that identifies the non-faulty controller as the designated primary controller. In response to detecting the error, the faulty controller is reset to operate in a safe operating mode as the secondary controller.

Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

A monitoring device for a programmable controller can resume continuous operation from an appropriate step, when the equipment is restarted after abnormality handling process. The monitoring device includes: a read device that reads operating state information of equipment from the programmable controller during individual operation; a relationship information storage device that stores relationship information showing relationship between the first step to be executed out of the steps when the equipment is restarted after the individual operation and the operating state information; a selection device that refers to the operating state information and selects the first step to be executed when the equipment is restarted, based on the relationship information; and a command transmission device that transmits a command to change an in-execution flag of the programmable controller which shows the first step to be executed when the equipment is restarted, based on the selection result of the selection device.