Method and system for performing close-loop analysis to electronic component failures are provided. The system establishes an electronic component fault tree of physics of failure (FTPF), converts the FTPF into a failure locating fault tree, establishes an electronic component fault dictionary with the cause of failure mechanism corresponding to failure characteristics, and performs close-loop analysis to the electronic component according to the fault tree and the fault dictionary. According to the disclosure, it is possible to locate the electronic component fault in the internal physical structure by the failure locating fault tree, to give a clear failure path, to quickly identify the failure mechanism corresponding to the electronic component failure mode by analyzing the failure characteristic vector in the fault dictionary, and to determine the mechanism factors and influencing factors of relevant failure mechanism by the FTPF, thereby achieving fast and accurate locating and diagnosis for the electronic component failure.

A method for creating and using a fault model representative of a system, the fault model comprising one or more fault model components is provided. The method creates a reusable fault model component; associates one or more algorithms to the reusable fault model component, the one or more algorithms describing behavior of the reusable fault model component; incorporates the reusable fault model component and the one or more algorithms into the fault model; tunes the reusable fault model component, using available data associated with the fault model; and predicts occurrence of degradation of the system, based on the tuning.

Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

An integrated control device that assigns a same attribute to plural pieces of status information integrally monitored over at least two or more pieces of equipment, to derive integrated status information and integrate the plural pieces of status information. An integration processor derives the integrated status information such that a group of pieces of preset status information is referenced with respect to plural pieces of status information with a same attribute from among status information of monitoring target functions stored in monitoring data of equipment and provided for each of plural pieces of the equipment to be monitored or an operation applying an operator being set for each attribute to pieces of status information with the same attribute from among status information of monitoring target functions stored in monitoring data of equipment and provided for each of plural pieces of the equipment to be monitored is carried out.

Method and system is provided for detecting faults and/or providing optimization measures to enhance the performance of one or more buildings, especially building automation equipment of the one or more buildings. The system may include a database for storing a data model comprising asset and performance data of the one or more buildings. The data model may be represented in one or more hierarchical tree-structures, in which the nodes of the tree-structures represent asset data and the leaves of the tree-structures represent performance data of the one or more buildings. The performance data may be represented in each case by data points. The data points may include time series of measured or derived field values and meta information.

A system for monitoring a set of components of a device, including: a detecting system including a set of agents for detecting anomalies, with each agent receiving measurements on physical parameters relating to a sub-set of components of a device and delivering an initial distribution of the probability of an anomaly; an acquiring system which receives feedback information and the initial distributions of the probability of an anomaly from the agents; an emerging system which iteratively emerges current distributions of the probability of an anomaly, with the current distributions of the probability of an anomaly converging towards a set of optimum distributions of the probability of an anomaly; and a synthesizing system which synthesizes optimum distributions of the probability of an anomaly relating to at least one sub-set of interest of components of the device in order to extract the risks of an anomaly specific to the sub-set of interest.

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 refers to a device (120) for monitoring a plurality of edge devices (111, 112, 113, 114, 115) provided at an industrial plant (110) and adapted for collecting and/or handling technical data related to production processes and/or assets. The device comprises a data providing unit (121) for providing monitoring data that are based on technical data of a respective edge device. A model providing unit (122) provides a respective model adapted to model a functional behaviour of the respective edge device based on monitoring data. A prediction unit (123) applies the respective model to existing monitoring data to determine an expected behaviour of the respective edge device, and an abnormality detection unit (124) detects an abnormal behaviour based on the expected behaviour of the respective edge device. A controlling unit (125) provides control signals for causing a reaction based on the detected abnormal behaviour.

A system and method are provided for generating minimal cut-sets for highly integrated large systems. The method includes receiving a system model (102) and a scenario (104), and obtaining a dependency array (300) from the system model (102) according to the scenario, with the dependency array (300) including at least one case (302). The method includes selecting a case (302) in the dependency array (300). The method includes querying a cut-set repository (110) to determine if a cut-set for a component (200) in the case (302) is already stored, and retrieving said cut-set; and if a cut-set is not stored, generating the minimal cut-set for the component (200). And the method includes computing a final cut-set list (112) by expanding the dependency array (300) using the cut-set for the component (200). The method improves the efficiency of cut-set generation applied to manufactured systems with great number of components.

A method for creating and using a fault model representative of a system, the fault model comprising one or more fault model components is provided. The method creates a reusable fault model component; associates one or more algorithms to the reusable fault model component, the one or more algorithms describing behavior of the reusable fault model component; incorporates the reusable fault model component and the one or more algorithms into the fault model; tunes the reusable fault model component, using available data associated with the fault model; and predicts occurrence of degradation of the system, based on the tuning.