Abstract: A gas turbine engine includes a turbomachine having a compressor section, a combustion section, and a turbine section arranged in serial flow order. The turbomachine defines an engine inlet to an inlet duct, a fan duct inlet to a fan duct, and a core inlet to a core duct. The primary fan is driven by the turbomachine, and a secondary fan is located downstream of the primary fan within the inlet duct. One or more actuation devices operably associated with the fan duct, the one or more actuation devices actuable to increase or decrease an exit area of the fan duct.

Abstract: A gas turbine engine is provided. The gas turbine engine includes a turbomachine having a compressor section, a combustor, and a turbine section arranged in serial flow order, the turbomachine further including an outer casing and, during operation of the gas turbine engine, an exhaust gas flow from the turbine section; and a fuel cell assembly positioned within the outer casing of the turbomachine, the fuel cell assembly having a fuel cell defining an inlet positioned to receive a portion of the exhaust gas flow, an outlet positioned to provide output products directly to the exhaust gas flow, or both.

Abstract: A gas turbine engine is provided. The gas turbine engine includes a turbomachine having a compressor section, a combustor, and a turbine section arranged in serial flow order, the turbomachine further including an outer casing; a fuel cell assembly positioned within the outer casing of the turbomachine, the fuel cell assembly including a fuel cell and an output products line in fluid communication with an outlet of the fuel cell for receiving output products from the fuel cell; a fuel delivery assembly including a fuel line; and a reformer in communication with the fuel line and the output products from the fuel cell during operation of the gas turbine engine to convert a fuel flow through the fuel line to a hydrogen rich gas.

Abstract: A lubrication system for a turbine engine. The turbine engine includes a fan having a fan shaft and one or more rotating components. The lubrication system includes one or more tanks that stores lubricant therein, a primary lubrication system, and an auxiliary lubrication system. The primary lubrication system supplies the lubricant from the one or more tanks to the one or more rotating components during normal operation of the turbine engine. The auxiliary lubrication system includes an auxiliary pump that is coupled to the fan shaft. The auxiliary lubrication system supplies the lubricant from the one or more tanks to the one or more rotating components based on a pressure of the lubricant in the primary lubrication system. Rotation of the fan shaft causes the auxiliary pump to pump the lubricant to the one or more rotating components.

Abstract: A method includes processing data associated with operation of equipment in an industrial process to repeatedly (i) identify one or more models that mathematically represent the operation of the equipment using training data and (ii) generate first indicators potentially identifying at least one specified condition of the equipment using evaluation data and the one or more models. The method also includes classifying the first indicators into multiple classes. The multiple classes include true positive indicators and false positive indicators. The true positive indicators identify that the equipment is suffering from the at least one specified condition. The false positive indicators identify that the equipment is not suffering from the at least one specified condition. The method further includes generating a notification indicating that the equipment is suffering from the at least one specified condition in response to one or more first indicators being classified into the class of true positive indicators.

Abstract: A method includes processing data associated with operation of equipment in an industrial process to repeatedly (i) identify one or more models that mathematically represent the operation of the equipment using training data and (ii) generate first indicators potentially identifying at least one specified condition of the equipment using evaluation data and the one or more models. The method also includes classifying the first indicators into multiple classes. The multiple classes include true positive indicators and false positive indicators. The true positive indicators identify that the equipment is suffering from the at least one specified condition. The false positive indicators identify that the equipment is not suffering from the at least one specified condition. The method further includes generating a notification indicating that the equipment is suffering from the at least one specified condition in response to one or more first indicators being classified into the class of true positive indicators.

Abstract: A method includes obtaining pressure measurements associated with fluid that passes through a flow restrictor, where the pressure measurements identify pressures upstream and downstream from the flow restrictor. The method also includes generating estimated flow measurements based on the pressure measurements. The method further includes comparing the estimated flow measurements and actual flow measurements generated by a flow meter that is fluidly coupled to the flow restrictor. In addition, the method includes determining whether a problem exists based on the comparison. The flow restrictor could provide a fixed restriction or a variable restriction for the fluid. An overall loss coefficient associated with the flow restrictor could be used to generate an estimated flow measurement.

Abstract: A method includes obtaining actual flow measurements generated by a flow meter, where the actual flow measurements identify a flow of material in a passageway. The method also includes generating estimated flow measurements based on process variable measurements other than the actual flow measurements. The method further includes comparing the estimated flow measurements and the actual flow measurements and determining whether a problem exists based on the comparison. The estimated flow measurements could be generated using one or more models mathematically representing how the flow of material in the passageway relates to non-flow process variables associated with the process variable measurements. The process variable measurements could be obtained from one or more sensors associated with a flow restrictor in the passageway, one or more sensors positioned within the passageway, and/or one or more sensors positioned outside the passageway.

Abstract: A method includes obtaining data associated with operation of equipment in an industrial process and identifying training data and evaluation data in the obtained data. The method also includes, during each of multiple training periods, identifying one or more models and one or more first statistical values using at least some of the training data and determining a threshold value using the one or more first statistical values. The one or more models represent the operation of the equipment. The method further includes, during each of multiple evaluation periods, determining one or more second statistical values using at least some of the evaluation data and the one or more models, comparing the one or more second statistical values to the threshold value determined in a preceding one of the training periods, and determining whether the equipment is suffering from at least one specified condition based on the comparison.

Abstract: A method includes processing data associated with operation of equipment in an industrial process to repeatedly (i) identify one or more models that mathematically represent the operation of the equipment using training data and (ii) generate first indicators potentially identifying at least one specified condition of the equipment using evaluation data and the one or more models. The method also includes classifying the first indicators into multiple classes. The multiple classes include true positive indicators and false positive indicators. The true positive indicators identify that the equipment is suffering from the at least one specified condition. The false positive indicators identify that the equipment is not suffering from the at least one specified condition. The method further includes generating a notification indicating that the equipment is suffering from the at least one specified condition in response to one or more first indicators being classified into the class of true positive indicators.

Abstract: A method includes obtaining data associated with operation of equipment in an industrial process and identifying training data and evaluation data in the obtained data. The method also includes, during each of multiple training periods, identifying one or more models and one or more first statistical values using at least some of the training data and determining a threshold value using the one or more first statistical values. The one or more models represent the operation of the equipment. The method further includes, during each of multiple evaluation periods, determining one or more second statistical values using at least some of the evaluation data and the one or more models, comparing the one or more second statistical values to the threshold value determined in a preceding one of the training periods, and determining whether the equipment is suffering from at least one specified condition based on the comparison.

Abstract: A method includes obtaining actual flow measurements generated by a flow meter, where the actual flow measurements identify a flow of material in a passageway. The method also includes generating estimated flow measurements based on process variable measurements other than the actual flow measurements. The method further includes comparing the estimated flow measurements and the actual flow measurements and determining whether a problem exists based on the comparison. The estimated flow measurements could be generated using one or more models mathematically representing how the flow of material in the passageway relates to non-flow process variables associated with the process variable measurements. The process variable measurements could be obtained from one or more sensors associated with a flow restrictor in the passageway, one or more sensors positioned within the passageway, and/or one or more sensors positioned outside the passageway.

Abstract: A method includes obtaining pressure measurements associated with fluid that passes through a flow restrictor, where the pressure measurements identify pressures upstream and downstream from the flow restrictor. The method also includes generating estimated flow measurements based on the pressure measurements. The method further includes comparing the estimated flow measurements and actual flow measurements generated by a flow meter that is fluidly coupled to the flow restrictor. In addition, the method includes determining whether a problem exists based on the comparison. The flow restrictor could provide a fixed restriction or a variable restriction for the fluid. An overall loss coefficient associated with the flow restrictor could be used to generate an estimated flow measurement.