Predictive vibration diagnostics of helicopter rotating units in field conditions.
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| Title: | Predictive vibration diagnostics of helicopter rotating units in field conditions. |
|---|---|
| Authors: | Mironov, Aleksey1 info@ddcentrs.lv, Chate, Andris2 andriscate@lu.lv, Doronkin, Pavel1 pavel@ddcentrs.lv, Safonovs, Aleksejs1 alex@aviaresearch.eu |
| Source: | Journal of Vibroengineering. Feb2026, Vol. 28 Issue 1, p61-81. 21p. |
| Subjects: | Vibration tests, Condition-based maintenance, Rotating machinery, Gearboxes, Helicopters, Rotor vibration |
| Abstract: | Current helicopter onboard monitoring systems are not effective enough, and most helicopters do not even have them. As helicopter unit state is not clearly known, it is subject of preventive maintenance. To maintain helicopters predictively reducing repair costs and time, the techniques are required that allow diagnosing the operating units in field conditions for all helicopters. This work is aimed to practically check the Vibropassport techniques allowing the predictive maintenance on the operating helicopter. The Vibropassport using high-order models considers the spatial vibrations in a wide frequency range, applies diagnostic parameters at the normalized scale, and allows diagnostics using a single field inspection. The main finding of the work is that the Vibropassport-based system adapted to a specific helicopter type allows the detailed diagnostics of the engines, gearboxes and transmissions based on the data of a single test in field conditions. Applicability of the Vibropassport system in field conditions was demonstrated on an operating helicopter, and the vibration-based diagnostics estimates whether the unit state complies with the thresholds common for a wide range of similar units. The Vibropassport-based system makes the predictive maintenance possible, reducing costs of maintenance and repair for helicopters, including those without onboard monitoring systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Vibroengineering is the property of Extrica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191637088 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predictive vibration diagnostics of helicopter rotating units in field conditions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mironov%2C+Aleksey%22">Mironov, Aleksey</searchLink><relatesTo>1</relatesTo><i> info@ddcentrs.lv</i><br /><searchLink fieldCode="AR" term="%22Chate%2C+Andris%22">Chate, Andris</searchLink><relatesTo>2</relatesTo><i> andriscate@lu.lv</i><br /><searchLink fieldCode="AR" term="%22Doronkin%2C+Pavel%22">Doronkin, Pavel</searchLink><relatesTo>1</relatesTo><i> pavel@ddcentrs.lv</i><br /><searchLink fieldCode="AR" term="%22Safonovs%2C+Aleksejs%22">Safonovs, Aleksejs</searchLink><relatesTo>1</relatesTo><i> alex@aviaresearch.eu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibroengineering%22">Journal of Vibroengineering</searchLink>. Feb2026, Vol. 28 Issue 1, p61-81. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Vibration+tests%22">Vibration tests</searchLink><br /><searchLink fieldCode="DE" term="%22Condition-based+maintenance%22">Condition-based maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Rotating+machinery%22">Rotating machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Gearboxes%22">Gearboxes</searchLink><br /><searchLink fieldCode="DE" term="%22Helicopters%22">Helicopters</searchLink><br /><searchLink fieldCode="DE" term="%22Rotor+vibration%22">Rotor vibration</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Current helicopter onboard monitoring systems are not effective enough, and most helicopters do not even have them. As helicopter unit state is not clearly known, it is subject of preventive maintenance. To maintain helicopters predictively reducing repair costs and time, the techniques are required that allow diagnosing the operating units in field conditions for all helicopters. This work is aimed to practically check the Vibropassport techniques allowing the predictive maintenance on the operating helicopter. The Vibropassport using high-order models considers the spatial vibrations in a wide frequency range, applies diagnostic parameters at the normalized scale, and allows diagnostics using a single field inspection. The main finding of the work is that the Vibropassport-based system adapted to a specific helicopter type allows the detailed diagnostics of the engines, gearboxes and transmissions based on the data of a single test in field conditions. Applicability of the Vibropassport system in field conditions was demonstrated on an operating helicopter, and the vibration-based diagnostics estimates whether the unit state complies with the thresholds common for a wide range of similar units. The Vibropassport-based system makes the predictive maintenance possible, reducing costs of maintenance and repair for helicopters, including those without onboard monitoring systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Vibroengineering is the property of Extrica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21595/jve.2025.25349 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 61 Subjects: – SubjectFull: Vibration tests Type: general – SubjectFull: Condition-based maintenance Type: general – SubjectFull: Rotating machinery Type: general – SubjectFull: Gearboxes Type: general – SubjectFull: Helicopters Type: general – SubjectFull: Rotor vibration Type: general Titles: – TitleFull: Predictive vibration diagnostics of helicopter rotating units in field conditions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mironov, Aleksey – PersonEntity: Name: NameFull: Chate, Andris – PersonEntity: Name: NameFull: Doronkin, Pavel – PersonEntity: Name: NameFull: Safonovs, Aleksejs IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13928716 Numbering: – Type: volume Value: 28 – Type: issue Value: 1 Titles: – TitleFull: Journal of Vibroengineering Type: main |
| ResultId | 1 |
