A system includes equipment operable to affect, monitor, or control one or more variable states or conditions in a building. The system further includes circuitry configured to perform a plurality of performance checks for the equipment, determine a plurality of individual performance check indicators based on the plurality of performance checks using a plurality of first weights determined based on different timings, generate an overall performance index for the equipment using the plurality of individual performance check indicators and a plurality of second weights, and initiate or execute a preventative maintenance action for the equipment based on the overall performance index.

A method and an apparatus for providing a safe operation of a technical system including a plurality of system components. The method includes the steps of: a) providing a safety analysis model matured by knowledge about former implementations of the respective system components in different context, b) whereby system components' dependencies are modeled by connecting inports with outports of the respective system components and/or vice versa, c) whereby at least one or a plurality of such in and/or outports are associated with input failure modes and/or output failure modes, d) characterized in automatically uncovering inconsistencies caused by at least one system component to be integrated in connection with at least another system component whereby the input and/or output failure mode of the system component carries the knowledge from another implementation into the context.

A method and system for generating an alert report on board an aircraft, comprising an on-board acquiring module configured to acquire data relating to the aircraft, the data originating from sensors and/or equipment installed in the aircraft. An on-board processing module is configured to detect possible anomalies by automatically partitioning the data into a set of homogeneous groups, each anomaly being revealed by a corresponding datum belonging to no homogeneous group. An on-board alert-emitting module is configured to emit an alert report on each detection of an anomaly. An on-board transmitting module is configured to transmit the alert report to the ground and in real-time.

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.

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.

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.

The present disclosure provides for predictive part maintenance by generating a reliability curve for an aircraft based on historic removals; setting a removal threshold on the reliability curve; tracking an installation of a given instance of the aircraft part into a given aircraft; tracking a number of cycles of the given instance of the aircraft part based on operations of the given aircraft in which the given instance of the aircraft part is installed; and in response to the number of cycles of the given instance of the aircraft part satisfying the removal threshold, transmitting a service alert to an operator of the given aircraft.

One embodiment provides a method and a system for diagnosing faults in a physical system. During operation, the system can obtain a model of the physical system comprising a plurality of components and can perform a structural analysis on the model to decompose the model into multiple independent subsystem models. A subsystem model corresponds to a subsystem comprising a subset of the plurality of components. The system can then perform, in parallel, a fault-diagnosis operation on each subsystem based on the corresponding subsystem model and can generate a diagnostic output indicating one or more components within the physical system being faulty based on outcomes of the fault-diagnosis operation on each subsystem.

According to one embodiment, a processing circuit classifies a time-series data corresponding to process amounts generated in a target facility into groups. For each of groups, the processing circuit applies time-series data included in the group to a first auto-encoder, which differs depending upon each group, and outputs time-series data. The processing circuit applies input difference data, which are based on output time-series data on the process amounts and the input time-series data, to a single second auto-encoder, and outputs difference data. The processing circuit determines an abnormality of the target facility, based on the comparison between addition data which are based on the output difference data and the output time-series data, and the input time-series data.

When a fault occurs in the prior art, it is necessary to exhaustively cover combinations of the field, product, and usage environment in which a component is used and create a model for determining priority degree. The person-hours required to create such a model represent a problem. In order to solve this problem, a fault tree generation unit 111 automatically generates a fault tree on the basis of the causal relationship of defects to events to be analyzed, and a score calculation unit 113 additionally calculates a priority degree (score) for the individual events in the generated fault tree by means of the number of co-occurrences of “events” and “event-related information” in past defect information on the basis of “event-related information” in which a component is used, then presents a scored fault tree to which the scores have been applied.