Abstract:
A bearing assembly monitoring system includes a bearing assembly supporting rotation of a rotating member. The bearing assembly includes a fixed portion and rotatable portion. A piezoelectric element is mounted to the fixed portion and generates an electric signal in response to a vibration of the fixed portion. A first transceiver is electrically coupled to the piezoelectric element to receive the electrical signal generated by the piezoelectric element and generate a signal indicative of the vibration of the fixed portion. A gas turbine engine bearing monitoring system and a method are also disclosed.
Abstract:
A method for monitoring a gear and bearing system having at least two inter-meshing gears and at least one bearing includes detecting gear and bearing vibrations with at least one vibration sensor operable to generate a signal representative of the detected gear vibrations. A carrier frequency is identified from the generated signal. A band pass filter is applied to the signal at the carrier frequency to create a filtered signal. An envelope is extracted from the filtered signal to create an extracted signal. A time-frequency analysis is then applied to the extracted signal which allows for identification of degradation of the gears.
Abstract:
What is described is a wear resistant seal system that is adapted for resisting wear of a rotating part in a gas turbine engine as it rotates against a stationary part in the engine. The system includes an axially rotable member including an abrasive tip having a first tensile strength. The system also includes a stationary structure radially exterior and adjacent to the rotable member and including an abradable material. The abradable material includes a matrix material having a second tensile strength that, at least in a first temperature range, is lower than the first tensile strength and a filler material interspersed with the matrix material.
Abstract:
A fan blade for a gas turbine engine is described. The fan blade may comprise a body portion formed from a metallic material, and it may include a suction side, a pressure side, a leading edge, a trailing edge, and a tip. A coating may be applied to the tip, and the coating may have a thermal conductivity of no more than about 10 watt per meter kelvin. The coating may be a thermal barrier coating comprising yttria-stabilized zirconia.
Abstract:
A method for fault diagnosis of a bearing includes detecting, using an oil debris monitor (ODM) sensor, ODM data corresponding to an amount of debris flowing downstream from the bearing. The method also includes detecting, using a vibration sensor, vibration data corresponding to vibration of the bearing during use. The method also includes determining, by a controller, a vibration stage flag corresponding to a severity of damage of the bearing based on the vibration data. The method also includes determining, by the controller, a severity level of the damage of the bearing based on a combination of the vibration stage flag and the ODM data. The method also includes outputting, by an output device, the severity level.
Abstract:
A method for fault diagnosis of a bearing includes detecting, using an oil debris monitor (ODM) sensor, ODM data corresponding to an amount of debris flowing downstream from the bearing. The method also includes detecting, using a vibration sensor, vibration data corresponding to vibration of the bearing during use. The method also includes determining, by a controller, a vibration stage flag corresponding to a severity of damage of the bearing based on the vibration data. The method also includes determining, by the controller, a severity level of the damage of the bearing based on a combination of the vibration stage flag and the ODM data. The method also includes outputting, by an output device, the severity level.
Abstract:
A bearing assembly monitoring system includes a bearing assembly supporting rotation of a rotating member. The bearing assembly includes a fixed portion and rotatable portion. A piezoelectric element is mounted to the fixed portion and generates an electric signal in response to a vibration of the fixed portion. A first transceiver is electrically coupled to the piezoelectric element to receive the electrical signal generated by the piezoelectric element and generate a signal indicative of the vibration of the fixed portion. A gas turbine engine bearing monitoring system and a method are also disclosed.
Abstract:
What is described is a wear resistant seal system that is adapted for resisting wear of a rotating part in a gas turbine engine as it rotates against a stationary part in the engine. The system includes an axially rotable member including an abrasive tip having a first tensile strength. The system also includes a stationary structure radially exterior and adjacent to the rotable member and including an abradable material. The abradable material includes a matrix material having a second tensile strength that, at least in a first temperature range, is lower than the first tensile strength and a filler material interspersed with the matrix material.
Abstract:
A fan blade for a gas turbine engine is described. The fan blade may comprise a body portion formed from a metallic material, and it may include a suction side, a pressure side, a leading edge, a trailing edge, and a tip. A coating may be applied to the tip, and the coating may have a thermal conductivity of no more than about 10 watt per meter kelvin. The coating may be a thermal barrier coating comprising yttria-stabilized zirconia.
Abstract:
A method for monitoring a gear and bearing system having at least two inter-meshing gears and at least one bearing includes detecting gear and bearing vibrations with at least one vibration sensor operable to generate a signal representative of the detected gear vibrations. A carrier frequency is identified from the generated signal. A band pass filter is applied to the signal at the carrier frequency to create a filtered signal. An envelope is extracted from the filtered signal to create an extracted signal. A time-frequency analysis is then applied to the extracted signal which allows for identification of degradation of the gears.