A testing platform tests an electrical and mechanical system such as an HVAC unit according to an algorithm that reduces the total testing time of the components of the system, while ensuring the safety of the system during system-wide testing. The platform uses constraints that are checked both before and during the testing to ensure that HVAC operating conditions are acceptable for starting and maintaining component tests. Preferably, the platform uses finite-state machines for each device to organize the component tests, allowing for monitoring of constraints and starting, pausing, and stopping component tests. Preferably, total test execution time is reduced by running component tests in parallel, running component tests based on loads of the components, or combinations of both.

The invention relates to a method and apparatus for monitoring the condition of subsystems within a renewable generation plant or microgrid which are using Supervisory Control and Data Acquisition (SCADA) systems for allowing plant operators to monitor and interact with a plant via human machine interfaces.

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 testing platform tests an electrical and mechanical system such as an HVAC unit according to an algorithm that reduces the total testing time of the components of the system, while ensuring the safety of the system during system-wide testing. The platform uses constraints that are checked both before and during the testing to ensure that HVAC operating conditions are acceptable for starting and maintaining component tests. Preferably, the platform uses finite-state machines for each device to organize the component tests, allowing for monitoring of constraints and starting, pausing, and stopping component tests. Preferably, total test execution time is reduced by running component tests in parallel, running component tests based on loads of the components, or combinations of both.

Disclosed is a parametric B vs W two pack confirmation test. The test entails receiving a desired alpha risk and output sample data, processing the output sample data to generate an estimated distribution of the output variable for the population of workpieces, determining bins of equal probability in the estimated distribution to define best-of-best (BOB) and worst-of-worst (WOW) regions based on the desired alpha risk, receiving B and W samples predicted to be within, respectfully, the BOB and WOW regions, and determining whether the B sample falls in the BOB region and the W sample falls within the WOW region.

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.

Disclosed herein is a data-driven approach for determining and presenting a more intelligent measure of the probability of failure of a substation. The disclosed approach generally involves (i) deriving respective failure probabilities of the individual assets within the substation by taking into consideration certain operating, environmental, maintenance or other types of data related to the individual assets, (ii) determining the electrical configuration of the substation, (iii) determining a substation failure probability based on the respective failure probabilities of the individual assets within the substation and the electrical configuration of the substation, and then (iv) presenting the probability of substation failure and/or the respective failure probabilities for the individual assets to a user in various ways. A user may use this probability of failure together with knowledge of the impact or consequence of a failure at the substation to make planning decisions for the substation or the electrical system.

A system model creating and simulation device for a process control system obtains description files of process modules including inputs, outputs and process control devices therebetween, where each description file specifies, for the corresponding module, connection terminals in the form of inputs and outputs, the process control devices and the interconnection of process control devices between the connection terminals, analyses of the description files, having determining a connection terminal of a first process module matching a connection terminal of a second process module, determines connections between the process modules based on the analysis, having determining a connection between the matching connection terminals, selecting simulation objects corresponding to the process control devices of the process modules, interconnecting the simulation objects according to data in the description files as well as through the connections determined between the process modules for forming a simulation model, and performing simulations in the simulation model.

Provided is an apparatus and method for providing an instantiated industrial semantic model, iISM, for an industrial infrastructure having data generation components, the apparatus including: an interface unit adapted to receive from an industrial infrastructure data generated by data generation components provided within the industrial infrastructure, a context management unit adapted to derive types of data generation components provided within the industrial infrastructure depending on characteristics of the received data and adapted to map each derived type of data generation component to an associated context model specified in the industrial semantic model, ISM, stored in a repository, and an instantiating unit adapted to instantiate the stored industrial semantic model, ISM, with predefined industrial instance models, IIMs, of data generation components on the basis of the mapped context models to generate the instantiated industrial semantic model, iISM, of the industrial infrastructure.

A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability. The recommendation is presented in a user interface for use in optimizing the operation of the industrial assets or automatically changing operating setpoints pertaining to the industrial assets.