Abstract: Method for monitoring valves, in particular valves of a fire fighting system, comprising capturing first sensor signals at a valve in an intact state with a sensor, training the monitoring with the first sensor signals captured at the valve in the intact state, capturing second sensor signals at the valve in an unknown state with the sensor, comparing the trained first sensor signals with the second sensor signals and outputting a signal in case of a deviation of the second sensor signals from the first sensor signals above a limit value.

Abstract: Systems, methods, and computer-readable media are disclosed for high impedance detection in electric distribution systems. An example method may include calculating, by a processor, a relative randomness of a signal, wherein the relative randomness is a derivative of a first scale wavelet transform divided by an energy of the signal. The example method may also include calculating, by the processor, one or more scales of a wavelet transform of the signal. The example method may also include calculating, by the processor, one or more energy ratios between energy of the wavelet transform in the one or more scales. The example method may also include calculating, by the processor, a zero-crossing phase difference between a third harmonic and a fundamental component of the signal.

Abstract: A method for operating a wind turbine includes determining one or more loading and travel metrics or functions thereof for one or more components of the wind turbine during operation of the wind turbine. The method also includes generating, at least in part, at least one distribution of cumulative loading data for the one or more components using the one or more loading and travel metrics during operation of the wind turbine. Further, the method includes applying a life model of the one or more components to the at least one distribution of cumulative loading data to determine an actual damage accumulation for the one or more components of the wind turbine to date. Moreover, the method includes implementing a corrective action for the wind turbine based on the damage accumulation.

Abstract: An online static security assessment (SSA) method based on a quasi steady-state (QSS) model is applied to a power system. An input to the method includes a post-contingency state of the power system for each of a set of contingencies. The following operations are performed for each contingency. Using the QSS model of the post contingency state of the power system, a steady-state voltage magnitude is calculated for each bus in the power system by solving a system of equations. The system of equations is formulated according to a time-domain stability model of the power system and includes nonlinear differential algebraic equations (DAE) with continuous and discreet variables. The derivative terms of short-term state variables in the DAE are set to zero. The method compares the calculated voltage magnitude with a limit, classifies each contingency as secure, critical or insecure, and determines a control action in response to the classification.

Abstract: An electric power meter includes an embedded decomposition module that is configured to decompose a power meter signal into constituent loads to segregate and identify energy consumption associated with each individual energy consumption device within a plurality of energy consumption devices coupled to the power meter.

Abstract: A method and system for diagnosing a fault that includes a decision tree having a plurality of decision points wherein at least some of the plurality of decision points terminate in a resolution point representing a diagnosis for the fault. Also included is a plurality of queries each having at least a first response and a second response where each of the plurality of queries being associated with one of the plurality of decision points. The system also includes a knowledge base that includes a plurality of first images where each of the plurality of first images illustrate one of the first responses. A user interface is included for presenting the plurality of queries and the illustrative first images to a user. The user navigates the decision tree by responding to at least some of the plurality of queries by viewing the illustrative first images and basing a selection between the first response and the second response associated with said at least some of said queries on said illustrative first images.

Abstract: A system and method for determining harmonics caused by non-linear loads are disclosed. Briefly described, one embodiment is a method comprising metering voltage on an electric power system; metering current on the electric power system; determining a predicted current based upon the metered voltage; comparing the predicted current with the metered current; and determining a harmonic current component using a plurality of weights determined when the predicted current converges with the metered current.

Abstract: A system (830) and method (800) for diagnosing a malfunctioning machine. A fault event is selected (806) together with sequential operating parameter data (808) from a selectively focused time interval about the fault event for evaluation of a machine (810). The selectively focused time interval may include data occurring just before, just after, or spanning the fault event. Characterizing information such as slope, rate of change, and absolute sign of the data may be derived (809) from the operating parameter data over the selectively focused time interval and used in the diagnosis. The fault event and operating parameter data may be compared to existing cases in a case database (834). A set of rules (817) or candidate anomalies (841) may be executed over the operating parameter data to further improve the accuracy of the diagnosis.

Abstract: In order to provide an operation and maintenance planning aiding system for a power generation installation which prepares an operation plan for a plurality of power generation units by making use of actual plant data and based on a total judgement including a variety of circumstances of the machine and apparatus or the parts thereof in the power generation units, in the system the plurality of power generation units 41, 42, 51 and 52, a power supply command center 3 and a service center 1 are arranged and connected via a communication network 6, the service center 1 obtains the plant data via the communication network 6 from the plurality of power generation units 41, 42, 51 and 52, calculates in real time a power generation efficiency of a concerned power generation unit for every plurality of power generation units 41, 42 51 and 52 by making use of the obtained plant data and design data of the concerned power generation unit and prepares an operation and maintenance plan for each of the power generation u

Abstract: A method and apparatus for providing a simulation of a welding process using integrated models which are interconnected by an interconnection tool to determine stresses and distortions of a material being welded. The method and apparatus includes determining a model of a geometry of a set of materials to be welded, defining a set of coordinates of elements and nodes of the geometry model for a finite element analysis mesh, delivering the finite element analysis mesh coordinates to a thermal analysis model, the thermal analysis model including an analytical solution model and a finite element analysis model, and determining a thermal analysis of the welding process, the thermal analysis responsively providing a thermal history of the welding process. The method and apparatus further includes delivering the thermal history of the welding process to a structural analysis model, and providing a structural analysis of the welding process as a function of the thermal history.

Abstract: In a method for the analysis of process data of an industrial plant, in particular a power station plant, parts of the plant are automatically controlled for the purpose of information compression, filtering and diagnosing faults in good time. Features characterizing the plant process are first prescribed and parameters relevant to the plant process are provided. Subsequently, the presence of each feature is checked for each plant part by using the parameters. Correlations between combinations of plant parts or features are determined by using features common to various plant parts and plant parts common to various features. Next, the plant parts and/or the features are represented as information elements positioned in such a way that the distance between two information elements in each case represents the degree of their correlation.

Abstract: A process management expert system where following malfunctioning of a component, such as a pump, for determining system realignment procedures such as for by-passing the malfunctioning component with on-line speeds to maintain operation of the process at full or partial capacity or to provide safe shut down of the system while isolating the malfunctioning component. The expert system uses thermal-hydraulic function classes at the component level for analyzing unanticipated as well as anticipated component malfunctions to provide recommended sequences of operator actions. Each component is classified according to its thermal-hydraulic function, and the generic and component-specific characteristics for that function. Using the diagnosis of the malfunctioning component and its thermal hydraulic class, the expert system analysis is carried out using generic thermal-hydraulic first principles.

Abstract: A method and apparatus for receiving, monitoring and characterizing network power information in real time through the use of a specialized display system. A processor receives three phase current and voltage information from a network power relay, converts and scales that data into a two-dimensional vector having coordinates that are represented by, and displayed as, a single pixel on a display screen. The repeated monitoring provides a Feature Map (FM) of the network system that can be easily read and understood by operating personnel.