Abstract
Diagnosing turbine engine bearing structures with the aid of FAM-C and FDM-A methodsThe diagnostic method FDM-A [2], based on the measurement of the pulsation component frequency modulation, and the FAM-C method, making use of the alternating current frequency, were developed in the Air Force Institute of Technology. The essence of their accuracy consists in "natural" synchronisation of the sampling signal with the angular velocity of the observed kinematic links. These methods make it possible to determine the level of wear of a subsystem and its location during normal operation of the power unit. They provide opportunities for determining numerous parameters of bearings, bearing structures, and the rotor unit. Moreover, the FDM-A method makes it possible to detect resonances in particular elements and their parameters - among others, they provide opportunities for assessing the level of the mechanic quality factor of the examined structure, i.e. the time margin of structure operation until the structure reaches the state of resonance. On the other hand, the FAM-C method provides opportunities for defining numerous parameters of the phenomena connected with the rotor unit. The diagnostic system is connected to an arbitrary point of the electric network (electric junction, for instance) supplied with the direct
Highlights
Industrial development observed on the turn of the ninetieth century was a source of demand for rolling bearings, to be used in machines built in large numbers in those days
Some applications discussed in further sections indicate important advantages of these methods, such as: no need for connecting any sensors to the object – this role is played here by the “regular” generator mounted on the object the measurement can be done at an arbitrary network point, even extremely distant from the examined object the primary diagnostic signal is directly “transmitted” from the examined bearing situated deep inside the structure to the generator serving as a sensor-processor via elements of the transmission construction. This way large disturbances, which can come from casing resonances, volumetric damping and other disturbances of high importance for vibroacoustic methods, can be omitted [5] transient loss of the “connection” between the diagnosed element and the generator-receiver is not a problem – the clearances are presented as a separate estimate, which can be an object of parametric analysis easy automation of the diagnostic process high speed of diagnostic data recording
The article presents the applications of the diagnostic methods FAM-C and FDM-A, which base on the analysis of output voltage frequency modulation parameters, for diagnosing technical states of turbine engine bearing supports
Summary
Industrial development observed on the turn of the ninetieth century was a source of demand for rolling bearings, to be used in machines built in large numbers in those days. Some applications discussed in further sections indicate important advantages of these methods, such as: no need for connecting any sensors to the object – this role is played here by the “regular” generator mounted on the object the measurement can be done at an arbitrary network point, even extremely distant from the examined object the primary diagnostic signal is directly “transmitted” from the examined bearing situated deep inside the structure to the generator serving as a sensor-processor via elements of the transmission construction This way large disturbances, which can come from casing resonances, volumetric damping and other disturbances of high importance for vibroacoustic methods, can be omitted [5] transient loss of the “connection” between the diagnosed element and the generator-receiver is not a problem – the clearances are presented as a separate estimate (among other actions, a separate characteristic set is created), which can be an object of parametric analysis easy automation of the diagnostic process high speed of diagnostic data recording
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