Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission
Aiming at early detection of subsurface cracks induced by contact fatigue in rotating machinery, the knowledge-based data analysis algorithm is proposed for health condition monitoring through the analysis of acoustic emission (AE) time series. A robust fault detector is proposed, and its effectiven...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/14/5187 |
| _version_ | 1797443899047804928 |
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| author | Einar Løvli Hidle Rune Harald Hestmo Ove Sagen Adsen Hans Lange Alexei Vinogradov |
| author_facet | Einar Løvli Hidle Rune Harald Hestmo Ove Sagen Adsen Hans Lange Alexei Vinogradov |
| author_sort | Einar Løvli Hidle |
| collection | DOAJ |
| description | Aiming at early detection of subsurface cracks induced by contact fatigue in rotating machinery, the knowledge-based data analysis algorithm is proposed for health condition monitoring through the analysis of acoustic emission (AE) time series. A robust fault detector is proposed, and its effectiveness was demonstrated for the long-term durability test of a roller made of case-hardened steel. The reliability of subsurface crack detection was proven using independent ultrasonic inspections carried out periodically during the test. Subsurface cracks as small as 0.5 mm were identified, and their steady growth was tracked by the proposed AE technique. Challenges and perspectives of the proposed methodology are unveiled and discussed. |
| first_indexed | 2024-03-09T13:03:45Z |
| format | Article |
| id | doaj.art-6469b7299bda44f2a0f302aebab9caeb |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T13:03:45Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6469b7299bda44f2a0f302aebab9caeb2023-11-30T21:51:01ZengMDPI AGSensors1424-82202022-07-012214518710.3390/s22145187Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic EmissionEinar Løvli Hidle0Rune Harald Hestmo1Ove Sagen Adsen2Hans Lange3Alexei Vinogradov4Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology—NTNU, 7491 Trondheim, NorwayKongsberg Maritime AS, 7053 Trondheim, NorwayKongsberg Maritime AS, 7053 Trondheim, NorwayMaterials and Nanotechnology, SINTEF Industry, 7465 Trondheim, NorwayDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology—NTNU, 7491 Trondheim, NorwayAiming at early detection of subsurface cracks induced by contact fatigue in rotating machinery, the knowledge-based data analysis algorithm is proposed for health condition monitoring through the analysis of acoustic emission (AE) time series. A robust fault detector is proposed, and its effectiveness was demonstrated for the long-term durability test of a roller made of case-hardened steel. The reliability of subsurface crack detection was proven using independent ultrasonic inspections carried out periodically during the test. Subsurface cracks as small as 0.5 mm were identified, and their steady growth was tracked by the proposed AE technique. Challenges and perspectives of the proposed methodology are unveiled and discussed.https://www.mdpi.com/1424-8220/22/14/5187fault diagnosticsacoustic emissiondata processingrolling contact fatiguesubsurface crack |
| spellingShingle | Einar Løvli Hidle Rune Harald Hestmo Ove Sagen Adsen Hans Lange Alexei Vinogradov Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission Sensors fault diagnostics acoustic emission data processing rolling contact fatigue subsurface crack |
| title | Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission |
| title_full | Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission |
| title_fullStr | Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission |
| title_full_unstemmed | Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission |
| title_short | Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission |
| title_sort | early detection of subsurface fatigue cracks in rolling element bearings by the knowledge based analysis of acoustic emission |
| topic | fault diagnostics acoustic emission data processing rolling contact fatigue subsurface crack |
| url | https://www.mdpi.com/1424-8220/22/14/5187 |
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