title: Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors--a comparative study.
abstract: 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.
authors.affiliation: Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA. yqu5@uic.edu.
authors.forename: Yongzhi
authors.initials: Y
authors.lastname: Qu
authors.affiliation: Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA. davidhe@uic.edu.
authors.forename: David
authors.initials: D
authors.lastname: He
authors.affiliation: Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA. jyoon52@uic.edu.
authors.forename: Jae
authors.initials: J
authors.lastname: Yoon
authors.affiliation: Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA. bvanhe2@uic.edu.
authors.forename: Brandon
authors.initials: B
authors.lastname: Van Hecke
authors.affiliation: Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA. eric@gpms-vt.com.
authors.forename: Eric
authors.initials: E
authors.lastname: Bechhoefer
authors.affiliation: Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA. jz@renewablenrgsystems.com.
authors.forename: Junda
authors.initials: J
authors.lastname: Zhu
mesh_terms: D000162:Acoustics; D006801:Humans; D014076:Tooth Diseases / Q000175:diagnosis* / Q000473:pathology; D014732:Vibration