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What is main purpose of vibration analysis?
Bearing condition
Defective rotor blades
Both A and B
None of these
Both A and B
Vibration analysis is a predictive maintenance technique used to monitor the health of rotating machinery. It identifies mechanical issues such as bearing wear, misalignment, and structural defects by analyzing the frequency and amplitude of machine vibrations.
Vibration analysis is a predictive maintenance technique used to monitor the health of rotating machinery. It identifies mechanical issues such as bearing wear, misalignment, and structural defects by analyzing the frequency and amplitude of machine vibrations.
fBPFOтАЛ=2nтАЛfrтАЛ(1тИТPDBDтАЛcos╬╕) тАФ Ball Pass Frequency Outer Race
VrmsтАЛ=T1тАЛтИл0TтАЛ[v(t)]2dtтАЛ тАФ Root Mean Square Vibration Velocity
Every mechanical component has a unique vibration signature based on its mass, stiffness, and operation speed. By capturing time-waveform and spectral (FFT) data using transducers, engineers identify specific peaks in the frequency domain that correlate to known fault frequencies of bearings, rotor blades, and shafts. Deviation from the baseline vibration profile indicates the onset of mechanical degradation.
Vibration analysis is a non-invasive condition monitoring technique.
Fast Fourier Transform (FFT) is the primary mathematical tool for converting time-domain signals to frequency-domain.
High-frequency components typically indicate bearing defects, while low-frequency components often relate to unbalance or misalignment.
Condition monitoring helps in transitioning from corrective to predictive maintenance.
Identifies faults before catastrophic failure occurs
Reduces unplanned downtime
Extends equipment operational life
Requires specialized training to interpret data
High initial cost for high-end data acquisition systems
Power plant turbines and pumps
Wind turbine blade monitoring
Large electric motors and compressors
In industrial standards like ISO 10816, vibration severity is classified based on velocity (mm/s).
Option C is correct because vibration analysis is highly effective at detecting both rolling element bearing degradation and aerodynamic/dynamic imbalances in rotor blades.
C is correct тАФ Vibration analysis is a comprehensive diagnostic tool capable of identifying both bearing wear and rotor blade defects by analyzing specific frequency components.
When analyzing vibration data, remember that periodic peaks in the frequency spectrum usually correspond to shaft speed harmonics, while non-synchronous peaks often indicate bearing race damage.