Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods
The monitoring of rolling element bearings through vibration-based condition indicators plays a crucial role in the modern machinery. The kurtosis is a very efficient indicator being sensitive to impulsive components within the vibration signature that often are symptomatic of localized faults. In o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2018/5384358 |
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| _version_ | 1832545955284516864 |
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| author | Marco Buzzoni Elia Soave Gianluca D’Elia Emiliano Mucchi Giorgio Dalpiaz |
| author_facet | Marco Buzzoni Elia Soave Gianluca D’Elia Emiliano Mucchi Giorgio Dalpiaz |
| author_sort | Marco Buzzoni |
| collection | DOAJ |
| description | The monitoring of rolling element bearings through vibration-based condition indicators plays a crucial role in the modern machinery. The kurtosis is a very efficient indicator being sensitive to impulsive components within the vibration signature that often are symptomatic of localized faults. In order to improve the diagnostic performance of the kurtosis, blind deconvolution algorithms can be exploited in order to detect bearing faults and, most importantly, their position. In this scenario, this paper focuses on the development of a novel condition indicator specifically designed for the damage assessment in rolling element bearings. The proposed indicator allows to track the bearing degradation process taking into account three different possible positions: outer race, inner race, and rolling element. This indicator fits real-time monitoring procedures allowing for the automatic detection and identification of the bearing fault. The validation of the proposed indicator has been carried out by means of both simulated signal and a run-to-failure experiment. The results highlight that the proposed indicator is able to detect more efficiently the fault occurrence and, most importantly, quicker than other established techniques. |
| format | Article |
| id | doaj-art-df1a899b6e6f4e658dc990bd0455c964 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-df1a899b6e6f4e658dc990bd0455c9642025-02-03T07:24:19ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/53843585384358Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution MethodsMarco Buzzoni0Elia Soave1Gianluca D’Elia2Emiliano Mucchi3Giorgio Dalpiaz4Department of Engineering, University of Ferrara, via Saragat 1, 44122 Ferrara, ItalyDepartment of Engineering, University of Ferrara, via Saragat 1, 44122 Ferrara, ItalyDepartment of Engineering, University of Ferrara, via Saragat 1, 44122 Ferrara, ItalyDepartment of Engineering, University of Ferrara, via Saragat 1, 44122 Ferrara, ItalyDepartment of Engineering, University of Ferrara, via Saragat 1, 44122 Ferrara, ItalyThe monitoring of rolling element bearings through vibration-based condition indicators plays a crucial role in the modern machinery. The kurtosis is a very efficient indicator being sensitive to impulsive components within the vibration signature that often are symptomatic of localized faults. In order to improve the diagnostic performance of the kurtosis, blind deconvolution algorithms can be exploited in order to detect bearing faults and, most importantly, their position. In this scenario, this paper focuses on the development of a novel condition indicator specifically designed for the damage assessment in rolling element bearings. The proposed indicator allows to track the bearing degradation process taking into account three different possible positions: outer race, inner race, and rolling element. This indicator fits real-time monitoring procedures allowing for the automatic detection and identification of the bearing fault. The validation of the proposed indicator has been carried out by means of both simulated signal and a run-to-failure experiment. The results highlight that the proposed indicator is able to detect more efficiently the fault occurrence and, most importantly, quicker than other established techniques.http://dx.doi.org/10.1155/2018/5384358 |
| spellingShingle | Marco Buzzoni Elia Soave Gianluca D’Elia Emiliano Mucchi Giorgio Dalpiaz Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods Shock and Vibration |
| title | Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods |
| title_full | Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods |
| title_fullStr | Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods |
| title_full_unstemmed | Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods |
| title_short | Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods |
| title_sort | development of an indicator for the assessment of damage level in rolling element bearings based on blind deconvolution methods |
| url | http://dx.doi.org/10.1155/2018/5384358 |
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