Abstract: An inspection system for inspecting a machine includes an inspection vehicle constructed for wireless operation while submersed in a dielectric liquid medium. The inspection vehicle is self-propelled. A controller is operative to direct the activities of the inspection vehicle. A plurality of status interrogation systems is disposed on the inspection vehicle. The status interrogation systems are operative to capture inspection data regarding a plurality of inspection procedures performed on the machine.

Abstract: Embodiments are disclosed for adjusting at least one probability value for a subset of interconnected nodes of a configurable fault tree structure. The at least one probability value is associated with a state of at least one component of a first electrical equipment, and the configurable fault tree structure represents at least one failure mode relating to the at least one component. The adjusting is based on at least one of a detected state of the at least one component of the first electrical equipment and observed faults in a plurality of electrical equipment. Thereafter, generating an indication of the state of the at least one component based on the one or more adjusted probability values.

Abstract: A method of analyzing dissolved gas in an oil-filled transformer includes determining a centroid of a polygon that represents a plurality of dissolved gas concentrations. A fault region in which the centroid of the polygon is located is determined, where the plurality of fault regions are defined in a composite fault region map that is a composite of a Duval Pentagons 1 and 2. The method classifies a fault experienced by the transformer based on the determined fault region within the composite fault region map. The classification is done by a machine learning classification technique. Further embodiments classify faults based on dissolved gas levels without determining a centroid of a polygon representing the dissolved gas levels. Related systems are also disclosed.

Abstract: Embodiments are disclosed for predicting, by a processor circuit, a load parameter value of an electrical equipment for a future time based on at least one machine learning model and multiple load parameter values including a set of predefined number of load parameter values extracted from a time series data stream of load parameter values obtained for the electrical equipment. Thereafter calculating, by the processor circuit, an overload capability for the future time based on the predicted load parameter value and changing, by the processor circuit, at least one parameter associated with the electrical equipment at the present time based on the calculated overload capability for the future time.

Abstract: Embodiments are disclosed for determining states of electrical equipment using diagnostic parameter prediction error. A prediction error value is determined for a plurality of predicted diagnostic parameter values over a predetermined time period for at least one component of an electrical equipment. The prediction error value suppresses variations observed in behavior of the at least one component. The determined prediction error value is compared to an expected prediction error value. An indication of a state of the at least one component is selectively generated based on the comparison.

Abstract: A method of estimating future aging of a transformer includes generating probabilistic models of factors that affect effective aging of the transformer, generating probabilistic profiles of the factors that affect effective aging of the transformer based on the probabilistic models, generating expected hot spot profiles from the probabilistic profiles, simulating a plurality of aging scenarios of the transformer based on the expected hot spot profiles and ambient temperature profiles, and estimating future aging of the transformer from the plurality of aging scenarios.

Abstract: A submersible inspection drone used for inspection of liquid cooled electrical transformers can include a number of separate cameras for imaging the internal structure of the transformer. The submersible can be configured to communicate to a base station using a wireless transmitter and receiver. The cameras on the submersible can be fixed in place and can be either static or motion picture cameras. The submersible can include an input/output selector capable of switching between the camera images, either through commanded action of a user or through computer based switching. In one form the input/output selector is a multiplexer. The base station can be configured to display images from the cameras one at a time, or can include a number of separate viewing portals in which real time images are displayed. The base station can include a demultiplexer synchronized to the multiplexer of the submersible.

Abstract: A transformer includes a tank with an insulating fluid, a radiator for cooling the insulating fluid, and one or more sensors arranged to measure insulating fluid properties in a location where the insulating fluid has a lower temperature.

Abstract: A submersible remotely operable vehicle used for inspection of liquid cooled electrical transformers can include a number of separate cameras and sensors for mapping and navigating the internal structure of the transformer with liquid coolant remaining in the transformer. The remotely operable vehicle can be wirelessly controlled to perform various inspection functions while the number of cameras provide video streams for processing to produce a three dimensional field of view based on an observation position of the remotely operable vehicle.

Abstract: A submersible vehicle which includes a plurality of cameras can be used to collect visual images of an object of interest submerged in a liquid environment, such as in a tank (e.g. transformer tank). In one form the submersible vehicle is remotely operated such as an ROV or an autonomous vehicle. Image information from the submersible along with inertial measurements in some embodiments is used with a vision based modelling system to form a model of an internal object of interest in the tank. The vision based modelling system can include a number of processes to form the model such as but not limited to tracking, sparse and dense reconstruction, model generation, and rectification.

Abstract: An Artificial Intelligence/Machine Learning driven assessment system for monitoring electrical equipment assets includes a computer system that is configured to receive user-provided asset data associated with operation of a plurality of electrical equipment assets operated by a plurality of users/owners, where the identity of any asset in the database is restricted and only known to the user that owns/operates the asset. The computer system is configured to analyze the user data in conjunction with a pooled knowledge database so as to generate courses of action or assessments for the monitored electrical equipment assets and to update the analysis process based on feedback from a comparison of the assessment or course of action with an actual outcome.

Abstract: A method of estimating future aging of a transformer includes generating probabilistic models of factors that affect effective aging of the transformer, generating probabilistic profiles of the factors that affect effective aging of the transformer based on the probabilistic models, generating expected hot spot profiles from the probabilistic profiles, simulating a plurality of aging scenarios of the transformer based on the expected hot spot profiles and ambient temperature profiles, and estimating future aging of the transformer from the plurality of aging scenarios.

Abstract: A method of analyzing dissolved gas in an oil-filled transformer includes determining a centroid of a polygon that represents a plurality of dissolved gas concentrations. A fault region in which the centroid of the polygon is located is determined, where the plurality of fault regions are defined in a composite fault region map that is a composite of a Duval Pentagons 1 and 2. The method classifies a fault experienced by the transformer based on the determined fault region within the composite fault region map. The classification is done by a machine learning classification technique. Further embodiments classify faults based on dissolved gas levels without determining a centroid of a polygon representing the dissolved gas levels. Related systems are also disclosed.

Abstract: A launching tube for use with a liquid filled tank can be sized to accommodate a submersible vehicle for dispensing into the liquid tank. The tank can be an electrical transformer or any other liquid containing tank such as but not limited to a chemical tank. The launching tube can include a valve for insertion into a launching chamber, and a tank side valve for launching of the submersible into the tank. In one form the launching tube includes an antenna for communication with the submersible and/or a base station. The launching tube can also include a sensor such as a camera, as well as an agitator. The agitator can be used to facilitate bubble removal from the inside of the launching tube.

Abstract: Methods and devices for a condition classification of a power network asset of a power network asset are provided. The methods and devices may combine an automatic classification procedure with a missing data replacement procedure.

Abstract: A method is provided for detecting an anomalous frequency response analysis (FRA) test of a transformer. The method uses frequency response analysis to measure voltage amplitudes and frequencies in one winding of the transformer which result from an AC voltage applied to another winding of the transformer. Two statistical distributions are generated from the measured data and the statistical distributions are combined such that one distribution defines one axis, the other distribution defines another axis, and the probabilities of the distributions defines another axis.

Abstract: An Artificial Intelligence/Machine Learning driven assessment system for monitoring electrical equipment assets includes a computer system that is configured to receive user-provided asset data associated with operation of a plurality of electrical equipment assets operated by a plurality of users/owners, where the identity of any asset in the database is restricted and only known to the user that owns/operates the asset. The computer system is configured to analyze the user data in conjunction with a pooled knowledge database so as to generate courses of action or assessments for the monitored electrical equipment assets and to update the analysis process based on feedback from a comparison of the assessment or course of action with an actual outcome.

Abstract: A transformer includes a tank with an insulating fluid, a radiator for cooling the insulating fluid, and one or more sensors arranged to measure insulating fluid properties in a location where the insulating fluid has a lower temperature.

Abstract: The present application is directed to an electrical system including a housing configured to hold electrical components within an internal volume. In one aspect the electrical system is a power transformer. A sensor is mounted to the housing and is configured to sense a parameter associated with one or more electrical components during operation of the electrical system. A control system including a communication unit and a data processing unit is operable for analyzing the sensed parameter and comparing the sensed parameter to a predetermined minimum or maximum threshold value.

Abstract: A submersible inspection drone used for inspection can include a ballast system used to control depth of the submersible inspection drone. The submersible can be configured to communicate to a base station using a wireless transmitter and receiver. The ballast system can include a pressure vessel for storing fluid and a bag for inflating and deflating as it receives a fluid. Buoyancy of the submersible inspection drone can be provided by change in density of the pressure vessel as a compressible gas is expanded when the ballast bag is caused to inflate or deflate. A pump can be used to draw fluid from the ballast bag and store the fluid in the pressure vessel. In one form the pressure vessel can include a compressible fluid and an incompressible fluid, where the incompressible fluid is used to inflate and deflate the bag.