An abnormality determination device acquires observation data observed during an operation of an industrial machine, extracts partial time-series data, including a portion representative of a feature of an operating state at a specified timing, from the observation data, calculates a statistical amount from the extracted partial time-series data, and performs processing for machine learning related to determination of operation abnormality of the industrial machine, based on the calculated statistical amount.

Methods, systems, apparatuses, and computer program products for predictive maintenance of an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of predictive maintenance of a UAV includes a maintenance controller detecting a deviation in an expected behavior of a UAV and determining whether to attribute the deviation to any environmental interferences. In this example embodiment, after determining to not attribute the deviation to any environmental interferences, the maintenance controller schedules the UAV for maintenance.

Provided is a method for analyzing and designing a physical system architecture of a safety-critical system, wherein a physical system analysis model representing the physical system architecture of the safety-critical system is modified incrementally until calculated failure rates of failure modes of the physical system analysis model are less or equal to failure rates of corresponding failure modes of a functional system analysis model representing a functional system architecture of the safety-critical system.

An asset management method for a substation in accordance with the present invention generates a unique reliability model for each element of the substation by comparing reliability of a reference reliability model for each substation type with a health index of the each element thereof generated based on state data and real-time monitoring data of the each element of the substation and compensating the reference reliability model for the each element of the substation; assessing system reliability index and economic feasibility for each maintenance scenario based on a reference system reliability model for each candidate element subject to maintenance among the elements of the substation; selecting a maintenance scenario as a result of the health index and the unique reliability model for the each element of the substation, the system reliability index, and the economic feasibility and updating the unique reliability model for the each element of the substation by executing maintenance.

Provided are a system and a method for diagnosing a state of mechanical equipment. More particularly, provided are a system and a method for diagnosing a state of mechanical equipment, wherein a health index is calculated for various levels in the equipment using one or more sensor parameter values related to individual components of the equipment, and then a current state value of the equipment is finally derived.

An abnormality in a device of interest is detected on the basis of the distance from a predetermined reference curve to a point represented by a first index value and a second index value in a two-dimensional plane having the first index and the second index as axes.

A bumpless transfer fault tolerant control method for aero-engine under actuator fault is disclosed. For an aero-engine actuator fault, by adopting an undesired oscillation problem produced by an active fault tolerant control method based on a virtual actuator, in order to solve the shortage of the existing control method, a bumpless transfer active fault tolerant control design method for the aero-engine actuator fault is provided, which can guarantee that a control system of the reconfigured aero-engine not only has the same state and output as an original fault-free system without changing the structure and parameters of a controller, to achieve a desired control objective, and that a reconfigured system has a smooth transient state, that is, output parameters such as rotational speed, temperature and pressure do not produce the undesired transient characteristics such as overshoot or oscillation.

A light emitting diode (LED) matrix driver includes a scan line switch coupled to a scan line of an LED matrix and adapted to be coupled to a signal ground; a first voltage clamp coupled to the scan line switch and the scan line; and a second voltage clamp coupled to the scan line.

A control system, for example for an optical system, includes: an actuating element; a measuring element for acquiring actuating element measurement data of the actuating element; a regulating unit for generating a regulating signal for regulating the actuating element depending on the acquired actuating element meas-urement data; and a state monitoring unit for monitoring a state of the control system depending on the acquired actuating element measurement data. The state monitoring unit includes: a first processing unit for generating preprocessed state data depending on (i) the acquired actuating element measurement data and a physical model and/or a mathematical model of the actuating element, or (ii) the acquired actuating element measurement data, a physical model and/or a mathematical model of the actuating element and the generated regulating signal; and a second processing unit for determining the state of the control system depending on the preprocessed state data.

A computer-readable medium may include instructions that may cause a processor to perform operations that may include receiving audio data representative of sound waves generated by industrial devices and extracting features from the audio data. The features may be representative of a portion of the audio data. The operations may also include identifying a subset of the features based on distances between each of the plurality of features in an information space. The information space may include known clusters. The operations may then include determining that the subset of the features corresponds to an unknown cluster in the information space, performing a constrained classification operation based on each feature of the subset of the features to identify a new known cluster for the information space, and modifying operations of the industrial devices based on the new known cluster.