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    Predictive maintenance of wind turbine low-speed shafts based on an autonomous ultrasonic system

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    Identifiers
    URI: http://hdl.handle.net/11556/733
    ISSN: 1350-6307
    DOI: 10.1016/j.engfailanal.2019.04.048
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    Author/s
    Galarza-Urigoitia, Nekane; Rubio-García, Benjamín; Gascón-Álvarez, Jaime; Aznar-Lapuente, Gabriel; Olite-Biurrun, Jorge; [et al.]
    Date
    2019-09
    Keywords
    Damage tolerance
    Fatigue failure
    Life extension
    Non-destructive testing
    Condition based maintenance
    Abstract
    Low-speed shafts breakage in wind turbines (WT) supposes, besides an elevated repair cost, an unattainable risk for workers integrity due to the induced rotor fall. Based on a Root Cause Analysis (RCA) an autonomous ultrasonic monitoring system has been developed with the aim of extending the shaft useful life safely beyond the 50% obtained when manual ultrasonic inspections are used. This system consists of ad-hoc electronics, a specific firmware that includes the detection and assessment algorithm, and an annular array of transducers attached to the shaft by a specific mechanical holder. To estimate the transducers type, quantity and optimum location and to establish references, healthy shafts were analyzed and tests specimens with artificial defects were manufactured and studied reproducing the critical crack sizes estimated in the RCA. The firmware controls the entire system and is the responsible for autonomous diagnostics that launches preliminary alerts when detecting non-critical ...
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    article

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