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Article Dans Une Revue IEEE Transactions on Industry Applications Année : 2016

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

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Résumé

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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Dates et versions

hal-03629904 , version 1 (04-04-2022)

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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, 2016, 52 (6), pp.4781-4788. ⟨10.1109/TIA.2016.2600596⟩. ⟨hal-03629904⟩

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