A turbocharger is used within a vehicle and includes an electronic actuator assembly. The electronic actuator assembly includes an actuator housing coupled to at least one of the turbine housing, the compressor housing, and the bearing housing, and an accelerometer coupled to the actuator housing. The accelerometer is adapted to detect vibration of at least one of the turbine housing, the compressor housing, the bearing housing, and the actuator housing thereby obtaining acceleration data of at least one of the turbine housing, the compressor housing, the bearing housing, and the actuator housing to determine rotational speed of the turbocharger shaft. Another embodiment includes a vibration detection assembly having an accelerometer coupled to a vehicle component and the vehicle component is one or more of a turbocharger, a valve assembly, an electronically driven compressor, and a turbocharger having an integral electric motor.

A method and system for detecting a functional failure in a power gearbox, includes engine a) measuring operational data in a gas turbine engine of operational parameters dependent on power generation and power consumption of the engine or the gearbox, b) obtaining analyzed operational data including time data, angular data of rotation, frequency data and/or phase data, c) using the analyzed operational data in a comparison with stored baseline operational data to determine deviation data, d) determining time dependent trend data from the deviation data or determining a first state measured dependent on the power generation, power consumption or power regulation of the engine and measuring a second state dependent on vibrational data of the engine, e) generating a signal and/or a protocol for controlling the gearbox, and/or the engine based on the time dependent trend data, if a threshold is exceeded or based on the first or second states.

Method for monitoring an ignition system of an aircraft turbine engine, the ignition system including a combustion chamber fitted with a spark plug and an ignition casing, the turbine engine including an accelerometer and an acoustic sensor. The method includes steps of: acquiring accelerometric and acoustic data representative of spark plug breakdown noises from signals generated by the accelerometer and the acoustic sensor, detecting breakdown peak times from the accelerometric data and the acoustic data, correlating the breakdown peak times detected from the accelerometric data and the breakdown peak times detected from the acoustic data, and establishing a diagnosis of the health of the ignition casing and a diagnosis for the spark plug on the basis of the correlation results.

A vehicle includes a vehicle body, a vehicle power source, and an actuator. The vehicle power source includes a housing and a power generator. The housing is rotationally mounted on the vehicle body and is configured to rotate, relative to the vehicle body, about a first rotational axis. The power generator is rotationally mounted within the housing and is configured to rotate about a second rotational axis and generate power. The first rotational axis and the second rotational axis are orthogonally disposed. The actuator is coupled to the housing and is operable to selectively rotate the housing about the first rotational axis. By gimballing the rotating mass of the power source a gyroscopic torque can be applied to the vehicle improving its maneuverability.

A turbine engine including a fan, a nacelle circumscribing at least the fan, a compressor section downstream of the fan, and a conduit defined, at least in part, by the nacelle. The conduit includes a first opening at the compressor section, a second opening downstream of the fan and upstream of the compressor section, and a third opening upstream of the fan. Pressure sensors coupled to the nacelle are communicatively coupled to at least one actuator. The at least one actuator can adjust airflow between the first opening and the second opening, or between the first opening and the third opening. The pressure sensors can provide outputs for generating commands that control the at least one actuator.

An improved system, apparatus and method for estimating thrust from an engine, and more specifically, a system for estimating thrust from strain gauge and accelerometer measurements. At least one strain gauge is mounted on an engine mount to measure strain to estimate a constant velocity or steady-state portion of thrust. At least one accelerometer is mounted on the vehicle to measure acceleration to estimate a transient portion of thrust. Steady-state thrust estimation and transient thrust estimation are combined to estimate thrust from the engine. An algorithm provides steps for estimating thrust from strain gauge and accelerometer measurements.

Systems and methods for measuring a clearance between a rotating machine component and a sensor unit are disclosed. In some aspects, a system includes a sensor unit oriented to detect the rotating machine component as the rotating machine component rotates past the sensor unit, the sensor unit including at least a first sensing element and a second sensing element spaced apart from the first sensing element. The system includes a sensor processing unit in electrical communication with the sensor unit. The sensor processing unit is configured for receiving a first waveform from the first sensing element; receiving a second waveform from the second sensing element; and determining, based on a comparison between the first waveform and the second waveform, a distance between the blade tip and the sensor unit.

A data processing method is proposed, including: sensing, via at least one sensing portion, target information of a target device; receiving and processing, via an electronic device, the target information of the sensing portion to form feature information; processing, via the electronic device, the feature information into a label matrix, and establishing, via an artificial intelligence training method, a target model based on the label matrix; and after the electronic device captures real-time information of the target device, predicting, via the target model, a life limit of the target device, wherein a content of the target information is corresponding to a content of the real-time information. Thus, a good target model is constituted and is advantageous in training artificial intelligence by processing the feature information into the label matrix.

An example method includes obtaining a representation of a change in rotational speed of an electric machine; obtaining a representation of an expected change in rotational speed of the electric machine; and determining, based on the obtained representation of the change in rotational speed of the electric machine and the representation of an expected change in rotational speed of the electric machine, whether a disconnect device has failed, wherein, when operating in an engaged state, the disconnect device is configured to couple rotational mechanical energy between the electric machine and a rotating device, and wherein, when operating in a disengaged state, the disconnect device is not configured to couple rotational mechanical energy between the electric machine and the rotating device.

The invention relates to an assembly for monitoring and/or controlling a wind turbine. The assembly includes a first strain sensor for measuring a first blade bending moment of a rotor blade of a wind turbine in a first spatial direction; a second strain sensor for measuring a second blade bending moment of a rotor blade of a wind turbine in a second spatial direction, which differs from the first spatial direction; an arrangement for determining constant components of forces and moments of the rotor blades provided in the wind turbine; and a controller for combining the first blade bending moment, the second blade bending moment and the constant components.