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Bearing faults diagnosed by vibration analysis are outer race, inner race, ball or roller, cage damage, looseness, bearing misalignment, inadequate lubrication. Vibration frequency bands trends are a key for bearing vibration analysis.
Bearing defect frequencies will usually appear in this order : BPFI BPFO BSF FTF View the spectrum in acceleration to see the high frequency peaks. High frequency vibration analysis can detect lack of lubrication.
This is a particularly useful analysis technique for vibrating screens. It is able differentiate between normal vibrations, due to the passage of minerals through the machine, and abnormal vibrations, due to machinery process faults, such as a loose mesh or a common phenomenon with vibrating screens bottoming out. Advanced analyses
1. Introduction. A vibration FFT spectrum is an incredibly useful tool for machinery vibration analysis. If a machinery problem exists, FFT spectra provide information to help determine the source and cause of the problem and, with trending, how long until the
In most traditional applications of vibration analysis, data is collected on rotating elements, such as motors, pumps, fans, compressors. This data shows the mechanical condition of the equipment. For example: bearing faults, gear faults, misalignment, coupling problems, etc.
The spectrum of the vibration measured on a machine containing a faulty bearing will contain one or more of the bearing frequencies. Most often, and especially when a fault starts developing, the vibrations caused by a bearing fault will be obscured by the vibrations from other rotating parts like shafts, gears, etc., and the bearing frequencies
Vibration is considered the best operating parameter to judge low frequency dynamic conditions such as imbalance, misalignment, mechanical looseness, structural resonance, soft foundation, shaft bow, excessive bearing wear, or lost rotor vanes. FREQUENCY RANGE The frequency range for which the overall vibration reading is