{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T14:25:04Z","timestamp":1779373504713,"version":"3.53.1"},"reference-count":39,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2014,1,14]],"date-time":"2014-01-14T00:00:00Z","timestamp":1389657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s140101372","type":"journal-article","created":{"date-parts":[[2014,1,14]],"date-time":"2014-01-14T11:21:38Z","timestamp":1389698498000},"page":"1372-1393","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":108,"title":["Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors \u2014 A Comparative Study"],"prefix":"10.3390","volume":"14","author":[{"given":"Yongzhi","family":"Qu","sequence":"first","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, University of Illinois at Chicago,  Chicago, IL 60607, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5703-6616","authenticated-orcid":false,"given":"David","family":"He","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, University of Illinois at Chicago,  Chicago, IL 60607, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, University of Illinois at Chicago,  Chicago, IL 60607, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brandon","family":"Van Hecke","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, University of Illinois at Chicago,  Chicago, IL 60607, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Bechhoefer","sequence":"additional","affiliation":[{"name":"Green Power Monitoring Systems, LLC, Essex Junction, VT 05452, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junda","family":"Zhu","sequence":"additional","affiliation":[{"name":"Renewable NRG Systems, Hinesburg, VT 05461, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,1,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Link, H., LaCava, W., van Dam, J., McNiff, B., Sheng, S., Wallen, R., McDade, M., Lambert, S., Butterfield, S., and Oyague, F. 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