Vibration detection of local gear damage by advanced demodulation and residual techniques

Abstract

Damage detection in a gearbox is reported based on analysis of vibration signals measured on a running aircraft engine on a test bed. The experiment was stopped due to material being found on the magnetic chip detectors in the oil system. Subsequent inspection found a significant damage to a bevel gear inside the drive train system. Three damage detection techniques are applied to the vibration signals: advanced demodulation, advanced residual technique, and the classical residual technique. Fault indicators are defined from each technique and trended over time. Results show that these techniques have the ability to provide early damage detection; however, with some noticeable difference in their feature evolution. The advantages of the techniques are compared and discussed.

Experimental investigation of helical gear tooth crack location and depth detection using moving average method on transmission error

“…A traditional useful method to extract the signal's crack effect and determine its location is the residual signal method. 10 Figure 7 shows the residual signal of the signal shown in Figure 6. The residual signal is obtained by eliminating the gear mesh frequency and its harmonics from the original signal.…”

“…Combet et al 10 used degradation techniques to calculate the residual signal to detect local gear error using the raw vibration signal obtained from an experimental setting. Another application of amplitude and phase demodulation can be found in the research.…”

“…The other researchers utilized the residual signals for crack diagnosis. 9,10 Amarnath and Krishna 12 applied the empirical mode decomposition (EMD) method and statistical parameters on vibration and acoustic signals to detect a local defect in helical gears. They removed different percentages of teeth and used experimental data to investigate the effect of several simultaneous processes on statistical parameters.…”

Novel Instantaneous Wavelet Bicoherence for Vibration Fault Detection in Gear Systems

“…Reference [4] compares the diagnostic effectiveness of technologies based on the advanced demodulation approach and gearbox residual signal analysis. In this research, the technologies are used to track developing gearbox damage and prove the diagnostic capabilities of residual signal analysis.…”

Transient signal analysis based on Levenberg–Marquardt method for fault feature extraction of rotating machines

“…CBM is a maintenance program that attempts to monitor machinery health and recommends maintenance decisions based on the information, such as temperature, pressure, sound and vibration, collected through condition monitoring that do not interrupt normal machine operation [3,4]. Among the various techniques, vibration-based analysis methods are the most suitable and effective for bearings and gearboxes and thus have been widely studied and applied in rotating fault diagnosis [5][6][7][8]. Localized defects in bearings or gears include cracks, pits and spalls on the surfaces, which are mainly caused by the application of the repeated stresses on a finite volume of material, and then a fatigue crack begins below the surface of the metal and propagates toward the surface, eventually results in the loss of material from the surface to leave a small pit or spall [4,5].…”