A method for identifying an output alarm message of an alarm message cluster in a management system of a technical installation is proposed, wherein alarm messages arriving in the management system of the technical installation are detected and stored in a storage device, a specific time range is defined for further processing the alarm messages contained in the time range, at least one time instant within the time range, at which an output alarm message arrives in the technical installation is determined, and the at least one specific time instant is transmitted to a control device, which is embodied to display the alarm messages.

Systems, methods, and processing nodes predicting and perform preventive maintenance in a transportation system. Predicting and performing preventive maintenance in a transportation system includes determining historical data for electronic devices in the transportation system. Predicting and performing preventive maintenance also includes determining dependencies of the electronic devices based on the historical data. Predicting and performing preventive maintenance includes determining a likelihood of a fault in the target electronic device during a time period based on the dependencies of the electronic devices and a mutual probability of failure of the target electronic device and parent electronic devices associated with the target electronic device. Predicting and performing preventive maintenance also includes initiating preemptive maintenance on the target electronic device based on the likelihood of the fault.

A risk assessment device for displaying a risk matrix in which a probability of malfunction and a degree of influence of malfunction are set as two axes includes a malfunction probability acquisition unit configured to acquire, with respect to a target device group, a data group that indicates a temporal change of the probability of malfunction from a current point in time, an influence degree acquisition unit configured to acquire a degree of influence that corresponds to the target device group, and an image data creation unit configured to create image data for displaying a plot diagram that is obtained by plotting, with respect to each probability of malfunction that constitutes the acquired data group, a pair of the probability of malfunction and the acquired degree of influence on the risk matrix.

A scanner monitors a vehicle engine module's performance, such as, for example, a vehicle engine powertrain by creating and compiling performance data either in real time or based on a data post-processing schedule. A preventive maintenance or repair is suggested if the critical boundaries of a probable failure are reached.

Various embodiments include modeling a component fault tree for a circuit with an input-side and an output-side component. These include using a fault tree corresponding to a hazard for each respective component, obtaining information about the components of the circuit and a connection between components, and connecting the respective fault trees based on the circuit description. Each fault tree includes an input fault mode or a basic event and an output fault mode. The output fault mode and the input fault mode are each assigned to a component terminal. An output fault mode of the input-side component tree is connected to an input fault mode of the output-side component tree if: there is a connection between the assigned terminal of the input-side component and the output-side component and the output fault mode of the input-side component correlates to an input fault mode of the output-side component.

Personal dependency related to fault tree construction is reduced, and the reliability of an operating machine is improved by improving the accuracy of a fault diagnosis. The present invention provides a fault diagnosis device for a machine in operation, the device comprising: an abnormality degree analysis unit that calculates the abnormality degree of each component configuring the machine by comparing input/output data of the machine with a threshold value; a fault tree automatic generation unit that holds a fault tree of each component in which the fault of each component and the fault of a sensor in each component are associated with each other and generates the fault tree of the entire machine by coupling the fault trees of the components on the basis of a correlation between the input/output data of each component; a fault analysis unit that analyzes the fault of the machine on the basis of the abnormality degree and information of the fault tree of the entire machine; and a display unit that displays information analyzed by the fault analysis unit and issues an alarm.

A method, computer program product, and a system is provided for power plant system fault diagnosis. The method includes detecting, using an invariant model, a fault event based on a broken pair-wise correlation. The method also includes constructing a fault signature based on the fault event. The method further includes generating a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event. The method additionally includes determining a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace. The method also includes initiating the corrective action on a hardware device to mitigate expected harm.

This disclosure provides systems for using failure mode ranking in an asset management system to generate asset maintenance outputs. Operational data, failure mode models, and configuration data for an asset, such as a complex electromechanical system, are related to failure prevention analytics configurations through failure mode rankings to enable the asset management system to reduce a future ranking of potential failure modes by changing the present configuration of the asset to include a recommended failure prevention analytics configuration.

A system for rule management, predictive maintenance and quality assurance of a process using automatic rule formation comprising a plurality of sensors capable of being attached to at least one machine for measuring at least one information about the process and machine operation. The system comprises a server connected to the sensors over a wireless communication network and running a reconfigurable rule management program for identifying and processing the particular process and machine information related to at least one process received from the plurality of sensors. A controller in communication with the server capable of controlling the process based on a rule set by the rule engine. The rule engine automatically detects the normal process data, classifies the received data based on the dynamic rule formed by the rule engine and finds anomalies in the process or machine operation for predictive maintenance and process quality assurance.

A computer-implemented method for determining an operational state of an industrial plant includes acquiring alarms raised within the plant and adding them to a pool of important alarms, determining whether a physical state of the plant indicated by a first alarm causes a second alarm or meets a predetermined state-dependent condition and, if so, moving the first alarm to a pool of informative alarms; and determining the operational state of the plant and/or a corrective action for improving this operational state based on the alarms in the pool of important alarms.