This application discloses a fault rectification operation recommendation method and apparatus, and a storage medium in the field of communication technologies. In some implementations, after fault information is obtained, a rectification contingency plan corresponding to the fault information may be searched for from a contingency plan library. When the rectification contingency plan corresponding to the fault information cannot be found in the contingency plan library, the fault information may be processed by using a recommendation model to obtain a recommended contingency plan. Further, one operation is selected from one or more candidate operations included in the recommended contingency plan as a fault rectification operation.

A method to assure integrity of integrated certified and non-certified sensors or systems comprises calculating a certified main solution filter within a first software thread in a certified partition; calculating certified sub-solution filters, and sub-sub-solution filters within the first software thread; calculating a non-certified main solution filter within a second software thread in a non-certified partition; if applicable, reusing the certified main solution filter as a non-certified sub-solution filter, and reusing the certified sub-solution filters, as non-certified sub-sub-solution filters; calculating non-certified sub-solution filters, and sub-sub-solution filters, within the second software thread; based on the certified filters, determining protection limits of the certified partition, and/or providing execution of fault detection and exclusion; based on the non-certified filters, determining protection limits of the non-certified partition, and/or providing execution of fault detection and exclusion; outputting certified solutions from the certified partition; and outputting non-certified solutions from the non-certified partition.

A method for managing error messages includes obtaining, by a message resolution manager, a plurality of error messages, performing an error message consecutive deduplication on the plurality of error messages to obtain a plurality of deduplicated error messages, generating a plurality of message sequences using the plurality deduplicated error messages, applying a message sequence frequency algorithm to the plurality of message sequences to obtain a high severity message sequence list, and initiating an error message resolution on at least one message sequence specified in the high severity message sequence list.

A system for automated and intelligent error correction within an electronic blockchain ledger is provided. The system may analyze unformatted/unstructured blockchain event logs using machine learning algorithms in order to identify and label the errors within the event logs. Based on the identified errors, the system may use predictive analysis in conjunction with error or rule repositories and/or machine learning to identify potential solutions to the identified errors. Once the potential solutions have been identified, the system may automatically attempt to rectify the blockchain transaction errors using the potential solutions. The system may further comprise trend/correlation analyses and reporting functions regarding various metrics and may output said metrics in various accessible formats.

System, methods, and other embodiments described herein relate to improving control flow in a program for safety-related functions. In one embodiment, a method includes identifying a safety-related function of the program. The safety-related function is associated with functionality performed by the program that effects whether an associated device operates according to a functional safety standard. The method includes integrating a fault tree for the safety-related function into associated portions of a control flow graph of the program. The control flow graph identifies at least procedural control flows within the program, and the fault tree indicates combinations of conditions in the program that produce faults by the program. The method includes providing the control flow graph as an electronic output to improve the control flow of the program.

A fault indicator diagnostic system and fault indicator diagnostic method, with which a fault indicator of a machine can be more accurately diagnosed, has an operation sensor data table which indicates an association between sensor data and an acquisition time of the sensor data. An operation mode data table indicates an association between an operation mode and a time of operation in the operation mode. An operation data table is created by merge processing the operation sensor data table and the operation mode data table comprising the sensor data with regard to the operation mode at a given time. The system compares, in a given operation mode, a threshold determined on the basis of a diagnostic model created by learning from normal sensor data with a value computed on the basis of the diagnostic model from the sensor data to be diagnosed, and determines whether a malfunction is occurring.

A method to assure integrity of integrated certified and non-certified sensors or systems comprises calculating a certified main solution filter within a first software thread in a certified partition; calculating certified sub-solution filters, and sub-sub-solution filters within the first software thread; calculating a non-certified main solution filter within a second software thread in a non-certified partition; if applicable, reusing the certified main solution filter as a non-certified sub-solution filter, and reusing the certified sub-solution filters, as non-certified sub-sub-solution filters; calculating non-certified sub-solution filters, and sub-sub-solution filters, within the second software thread; based on the certified filters, determining protection limits of the certified partition, and/or providing execution of fault detection and exclusion; based on the non-certified filters, determining protection limits of the non-certified partition, and/or providing execution of fault detection and exclusion; outputting certified solutions from the certified partition; and outputting non-certified solutions from the non-certified partition.

A system for automated and intelligent error correction within an electronic blockchain ledger is provided. The system may analyze unformatted/unstructured blockchain event logs using machine learning algorithms in order to identify and label the errors within the event logs. Based on the identified errors, the system may use predictive analysis in conjunction with error or rule repositories and/or machine learning to identify potential solutions to the identified errors. Once the potential solutions have been identified, the system may automatically attempt to rectify the blockchain transaction errors using the potential solutions. The system may further comprise trend/correlation analyses and reporting functions regarding various metrics and may output said metrics in various accessible formats.

An improved method for telecommunication analysis and monitoring employing a logic analyzer device. The logic analyzer device provides a plurality of concurrent graphic depictions of different electronic signals under differing electronic protocols for signal error determination on a communications channel. Error source determination is enabled through the provided concurrent depiction of digital and analog signal characteristics in the differing protocols, including digital data packets, signal voltages and timing. Through this concurrent depiction the user can visually discern potential causation for electronic communication errors caused by non-continuous signal anomalies affecting one or more of the protocols.

System, methods, and other embodiments described herein relate to improving control flow in a program for safety-related functions. In one embodiment, a method includes identifying a safety-related function of the program. The safety-related function is associated with functionality performed by the program that effects whether an associated device operates according to a functional safety standard. The method includes integrating a fault tree for the safety-related function into associated portions of a control flow graph of the program. The control flow graph identifies at least procedural control flows within the program, and the fault tree indicates combinations of conditions in the program that produce faults by the program. The method includes providing the control flow graph as an electronic output to improve the control flow of the program.