In recent years, acoustic emission (AE) sensors and AE-based techniques have been developed and tested for gearbox fault diagnosis. In general, AE-based techniques require much higher sampling rates than vibration analysis-based techniques for gearbox fault diagnosis. Therefore, it is questionable whether an AE-based technique would give a better or at least the same performance as the vibration analysis-based techniques using the same sampling rate. To answer the question, this paper presents a comparative study for gearbox tooth damage level diagnostics using AE and vibration measurements, the first known attempt to compare the gearbox fault diagnostic performance of AE- and vibration analysis-based approaches using the same sampling rate. Partial tooth cut faults are seeded in a gearbox test rig and experimentally tested in a laboratory. Results have shown that the AE-based approach has the potential to differentiate gear tooth damage levels in comparison with the vibration-based approach. While vibration signals are easily affected by mechanical resonance, the AE signals show more stable performance. © 2014 by the authors; licensee MDPI, Basel, Switzerland.
Qu, Y., He, D., Yoon, J., Van Hecke, B., Bechhoefer, E., & Zhu, J. (2014). Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors - A comparative. Sensors (Switzerland), 14(1), 1372–1393. https://doi.org/10.3390/s140101372