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Fault Index Statistical Study for Gear Fault Detection Using Stator Current Space Vector Analysis

Abstract : This paper presents a statistical analysis on a fault index computed based on the stator current space vector instantaneous frequency on a real-time platform for online noninvasive gear tooth surface damage fault detection in a single-stage gearbox. This analysis is crucial for defining a threshold beyond which the condition of gear teeth can be considered defective with a significance level less than the critical value. Besides, the efficiency of the fault detection algorithm realized on a real-time platform will be evaluated for both pinion and wheel tooth surface damage faults by using a setup based on a 250-W three-phase squirrel-cage induction machine shaft-connected to a single-stage spur or helical gearboxes.
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https://hal-u-picardie.archives-ouvertes.fr/hal-03629904
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Soumis le : lundi 4 avril 2022 - 16:19:02
Dernière modification le : mercredi 13 avril 2022 - 08:48:12

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Shahin Hedayati Kia, Humberto Henao, Gerard-Andre Capolino. Fault Index Statistical Study for Gear Fault Detection Using Stator Current Space Vector Analysis. IEEE Transactions on Industry Applications, Institute of Electrical and Electronics Engineers, 2016, 52 (6), pp.4781-4788. ⟨10.1109/TIA.2016.2600596⟩. ⟨hal-03629904⟩

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