EXPERIMENTAL ANALYSIS OF FAULT DIAGNOSIS OF SELF ALIGNING BALL BEARING UNDER VARIOUS SPEEDS AND ANGULAR MISALIGNMENTS USING VIBRATION SIGNAL PROCESSING - Softcover

Inhaltsangabe

Dynamic equipments, in their vast majority, have rolling bearings in their components. Measurement and analysis of the values of rolling bearings vibration, on time, represent a safe and effective measure for identifying the state of wear of bearings, and to predict the evolution of their technical condition and of the entire equipment. The fault diagnosis of self aligning ball bearing (1205K type) at angular misalignments is the main concern of the study. This paper presents the detection of causes which lead to the damage of rolling bearing by using bearing condition signature spectrums in frequency domain and root mean square values of acceleration in time domain, by measuring its housing vibrations mounted in a test rig. The bearing fault simulator system is created for vibration signal observation by inducing fault in the bearing and misalignments in shaft. The main components of vibration observing system used is piezoelectric transducer, data transfer cable, vibscanner gadget and pc, signal investigation omnitrend software. A test bench consists of a motor and a shaft attached along with two different bearing housings with rotor disc at the centre giving constant loading. The particular imperfections are considered as defect in outer race, inner race and ball element and vibrations are recorded for five speeds and five different angles. It is clear from both the time domain and frequency domain signals that for the same defect size the maximum vibrations are produced by the bearing with ball defect and then by the outer race fault and lastly minimum by the inner race faulty bearing. So, on the basis of the results it becomes easy to recognize and diagnose the type of fault occurred in the bearing during it operation before the major failure.

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