Abstract
Most energy-conversion machines (e.g. vehicle engines and electric motors) involve rotating components (e.g. roller bearings and gears), which generate vibrations. The behavior of a pump which includes a deliberate fault was chosen to illustrate this assertion. The test bearing at the driven end of the pump’s motor was deliberately damaged using a 1.5mm wire-cutting method and an adjustable coupling disk introduced to impose a shaft misalignment of 40. The resulting undesirable behavior of the pump was observed. Experimental data were measured at various speeds of the rotor. The sample period at various operating frequencies were 0.9, 0.6 and 0.45s respectively. The ball-passage frequency was observed at 4.4, 8.8, 13.2 and 17.6Hz. A computer-based analytical model was developed, in visual basic, for monitoring the machine failures: this led to an integrated system-process algorithm for diagnosis of faults in rotating components.
Highlights
The use of vibration analysis as a fundamental tool for condition monitoring of equipment has evolved over the last 35 years
A computer-based analytical model was developed, in visual basic, for monitoring the machine failures: this led to an integrated system-process algorithm for diagnosis of faults in rotating components
rolling-element bearing activity monitor (REBAM) vibration signals can be separated into rotorvibration and prime-spike regions
Summary
The use of vibration analysis as a fundamental tool for condition monitoring of equipment has evolved over the last 35 years. Modification of a rolling-element bearing activity monitor (REBAM) system offers a high signal-to-noise ratio relative to those for a casing-mounted accelerometer or velocity transducer, as shown in Figure 1 [2]. REBAM vibration signals can be separated into rotorvibration and prime-spike regions This signal separation improves the signal-to-noise ratio for both regions. By measuring directly the vibrations at the rolling-element bearing outer-ring and displacements are relative to the machine casing. This isolates the signal of interest from extraneous vibrations (e.g., due to structural resonances, steam throttling, pump cavitation, gear noise, etc.) which often mask the bearing-defect signals when casingmounted transducers are employed. The ensuant effective predictive maintenance can result in an 8% maintenance-cost saving and a further 8% increase in productivity [8], and the associated energy-thrift
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
