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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Leighton, Michael
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Publications (6/6 displayed)
- 2023Vehicle Class Based Validation Program for Electrified Powertrain Vibration Testingcitations
- 2021Evaluation of a Novel Condition Indicator with Comparative Application to Hypoid Gear Failurescitations
- 2021Application of solid lubricant for enhanced frictional efficiency of deep drawing process
- 2021Application of solid lubricant for enhanced frictional efficiency of deep drawing processcitations
- 2018Asperity level tribological investigation of automotive bore material and coatingscitations
- 2017Asperity level tribological investigation of automotive bore material and coatings
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article
Evaluation of a Novel Condition Indicator with Comparative Application to Hypoid Gear Failures
Abstract
This paper presents a condition monitoring methodology that uses a novel condition indicator (CI) algorithm, allowing for a confident assessment of system health and an advanced warning of failures. The CI is evaluated in the application of a specialized gear rig utilized for the high-cycle fatigue testing of hypoid gears. The CI is shown in this case study to ensure higher confidence in the prediction of failures than other algorithms, with variations in the results. In the comparison, consideration is given to the signal-to-noise ratio, the ability to differentiate between damages and/or damaged components and the sensitivity of the CI to the failure.