A method for managing soft errors associated with one or more safety programmable logic controllers (PLCs) is provided. The method includes receiving an expected soft error rate for type(s) of input/output (I/O) modules over time, receiving respective soft error data that was aggregated by the respective safety PLCs based on soft errors detected by I/O modules coupled to the respective safety PLCs. Actual soft error rates are determined per I/O module type based on the received soft error data, and soft error rates are predicted for the safety PLC(s) per I/O module type. The actual and/or predicted soft error rates are compared to the expected soft error rate per I/O module type. The method further includes taking one or more actions in response to a threshold deviation between the actual and/or predicted soft error rates relative to the expected soft error rate for the corresponding I/O module type.

A method is provided that provides data analysis for sequence of events reporting in the operation of an industrial process. A digital filter and edge detector are provided that combines a method for excluding known invalid samples and a method for excluding samples taken while the input in the traveling range. The filtering method reduces the overhead on the CPU from managing the sequence of events machine and allows it to focus on performing safety functions.

An electronic device having a temperature management function includes a platform controller hub (PCH), a complex programmable logic device (CPLD) and a hardware monitor. The PCH includes a first temperature sensor for sensing the first temperature of the PCH. The CPLD includes a memory and is coupled to the PCH. The CPLD reads the first temperature sensed by the first temperature sensor and saves it in the memory. The CPLD searches for an offset value in the memory and generates a device temperature according to the offset value and the first temperature. The hardware monitor is coupled to the CPLD and reads the device temperature.

A method for operating a smart tool monitoring system is described. The method includes monitoring, by a controller within a smart tool monitoring system, a first parameter associated with a first component internal to the smart tool monitoring system. The method also includes determining, by the controller, whether the first parameter satisfies a first criterion. The method also includes performing a first action in response to a determination that the first parameter satisfies the first criterion. The method also includes receiving a measurement value from a sensor of an article of manufacturing equipment that includes a second component external to the smart tool monitoring system. The method also includes determining, by the controller, whether the measurement value satisfies a second criterion. The method also includes performing a second action in response to a determination that the measurement value satisfies the second criterion.

The present disclosure generally relates to a system and method for defending a utilities system against cyber-physical attacks associated with anomalies in a physical process operative in the utilities system. The defense system comprises: a set of sensors for collecting physical data associated with the physical process; a set of controller devices for monitoring process states of the physical process based on the physical data from the sensors; a set of verification devices for monitoring the physical process based on the physical data from the sensors, the physical data enabling the verification devices to detect the anomalies based on a set of invariants predefined for the physical process; and a set of actuators controllable by the controller devices or verification devices to remedy the anomalies and regulate the physical process, thereby defending the utilities system against the cyber-physical attacks.

An industrial system and method for monitoring and analyzing industrial operations such that data is obtained from one or more sensors of one or more industrial components and transmitted to a master controller as a data stream through a communication network, the transmitted data is captured, copied, and stored for analysis without interfering with the data stream.

A PLC maintenance support device according to the present invention includes a signal identification tag reader for reading a signal address from a signal identification tag attached to an input and output signal cable of a PLC to identify the signal address of the input and output signal cable, a transmitter for transmitting the signal address identified by the signal identification tag reader to the PLC, a receiver for receiving the on or off state of a signal corresponding to the transmitted signal address from the PLC, and a monitor for displaying the received on or off state of the signal.

A method for identifying, classifying, and sending notification of an electric arc furnace's (EAF) anomalies to improve the EAF efficiency. The method includes the steps of establishing baseline state measurements of the EAF, receiving new state measurements of the EAF and statistically testing the new state measurements against the baseline state measurements. The method further includes the steps of identifying as an anomaly a failed statistical test, classifying the identified anomaly and sending notification of the classified anomaly to a configurable list of recipients.

Apparatus and associated methods relate to a safety control system having a processor that (1) automatically interrogates a portable data storage device, (2) determines whether a configuration profile of the safety control system matches a stored configuration profile in the portable data storage device, (3) obtains network settings of the safety control system, and (4) stores network settings into the portable data storage device. In an illustrative example, a safety control system may include a processor designed to perform operations to configure the safety control system with a configuration profile stored in the portable data storage device or download network settings of the safety control system to the portable data storage device under some predetermined conditions. By using the above method, the safety control system may be quickly configured, and network settings may be easily obtained and backed up.

The invention relates to a motor control device, a control method, an information processing program and a recording medium, even though the network for receiving an output permission signal is not connected, the test run of the motor can be safely performed. Even though a signal generating element (104) of a servo driver (10) does not receive the output permission signal through a field network (30), if the connection to the field network (30) is determined to be not required, the signal generating element (104) does not generate the safety command.