Systems and methods are provided for dynamically grouping data analysis content derived from a plurality of sensors. In one embodiment, a plurality of sensors can be disposed on a plurality of machine trains or one or more machines within the plurality of machine trains configured in an industrial environment. A communication circuit can be operatively coupled to the plurality of sensors and configured to communicate data measured by the plurality of sensors, and a dynamic graphical user interface (GUI) can be provided on a touchscreen display and can be configured to dynamically generate one or more visualizations of the measured data. A processor can be configured to receive the measured data via the communication circuit, to generate a plurality of measurements based on the measured data, and to operatively control the dynamic GUI in response to a grouping mode selection.

A system and method for providing a corrective solution recommendation for an industrial machine failure, the method including: monitoring a plurality of segments of at least an industrial machine behavioral model to identify a first segment having at least a first set of characteristics associated with a previous machine failure; determining a corrective solution recommendation that solved the previous machine failure; identifying at least a second set of characteristics associated with a second segment; and generating a notification comprising the corrective solution recommendation when the second set of characteristics is determined to be similar to the first set of characteristics above a predetermined threshold.

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 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.

Systems and methods are provided for dynamically grouping data analysis content derived from a plurality of sensors. In one embodiment, a plurality of sensors can be disposed on a plurality of machine trains or one or more components within the plurality of machine trains, each machine train including one or more machines configured to operate in an industrial environment. A communication circuit can be operatively coupled to the plurality of sensors and configured to communicate data measured by the plurality of sensors, and a graphical user interface (GUI) can be configured to generate one or more visualizations of the measured data. A processor can be configured to receive the measured data via the communication circuit, to generate a plurality of measurements based on the measured data, and to operatively control the GUI.

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.

According to some embodiments, a system and method are provided to model a sparse data asset. The system comprises a processor and a non-transitory computer-readable medium comprising instructions that when executed by the processor perform a method to model a sparse data asset. Relevant data and operational data associated with the newly operational are received. A transfer model based on the relevant data and the received operational data. An input into the transfer model is received and a predication based on data associated with the received operational data and the relevant data is output.

A method for affecting operation of building equipment includes providing a plurality of reliability models that model failure probabilities of components of the building equipment as functions of equipment runtime, providing associations of the components with a plurality of subsystems of the building equipment, calculating, for the plurality of subsystems of the building equipment, probabilities of subsystem failure based on the reliability models for the components and the associations, and initiating an automated action to affect operation of the building equipment based on the probabilities of subsystem failure.

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.

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.