Abstract: A method and system for detecting a functional failure in a power gearbox, includes 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.

Abstract: A method for monitoring at least one journal bearing for a shaft in respect to at least one acoustic event is provided. The at least one journal bearing is coupled with a gearbox, wherein a time dependent solid borne sound signal is detected by at least one solid borne sound signal sensor, the output signal of the at least one solid borne sound signal sensor is transmitted to a signal pre-processing device, frequency components of the solid borne sound signal with of more than 250 kHz are amplified in the signal pre-processing device and/or with a frequency of less than 50 kHz are attenuated in the signal pre-processing device, and the output signal of the signal pre-processing device is wirelessly transmitted via an antenna device to a signal evaluation device for the detection and/or location of the at least one acoustic event.

Abstract: 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.

Abstract: A method for estimating the state of wear of a plain bearing comprises: establishing a time profile of at least one friction event from a structure borne noise signal by a mathematical friction event model, determination of a measure, which characterizes at least one friction event based on a time duration of the at least one friction event, the amplitude of the at least one friction event and/or an integral measure over the at least one friction event, combination of the measure, accumulated over time, with an angle indication for the at least one friction event at the circumference of the plain bearing in order to determine a spatially resolved wear model of the plain bearing, wherein the spatially resolved wear model is obtained by an estimating filter, and outputting a signal in accordance with the wear model to characterize the state of wear.

Abstract: A method for monitoring at least one journal bearing for a shaft in respect to at least one acoustic event is provided. The at least one journal bearing is coupled with a gearbox, wherein a time dependent solid borne sound signal is detected by at least one solid borne sound signal sensor, the output signal of the at least one solid borne sound signal sensor is transmitted to a signal pre-processing device, frequency components of the solid borne sound signal with of more than 250 kHz are amplified in the signal pre-processing device and/or with a frequency of less than 50 kHz are attenuated in the signal pre-processing device, and the output signal of the signal pre-processing device is wirelessly transmitted via an antenna device to a signal evaluation device for the detection and/or location of the at least one acoustic event.

Abstract: A method for monitoring a sliding bearing, having a shaft mounted therein, in particular a shaft rotating therein, for at least one mixed friction event, wherein at least one time-dependent structure-borne sound signal from at least one structure-borne sound sensor, is recorded from the sliding bearing. The method includes the steps: filtering of the structure-borne sound signal, subsequent calculation of an envelope curve for the filtered structure-borne sound signal, subsequent smoothing of the envelope curve, combination of the data for the smoothed envelope curve with a rotational angle signal which is dependent on the revolution of the shaft in the sliding bearing, and calculation of the maxima, which are correlated with the mixed friction events, from the combined data from step d) for the purpose of determining an angle specification for the at least one mixed friction event on the circumference of the sliding bearing.