Considering the intricate structure, challenging maintenance requirements, and the interdependent nature of the detection parameters within a wind turbine gearbox, this study employs a stacked auto-encoder model for the offline analysis and modeling of standard operational data from the gearbox. The deviation in health factors post-model reconstruction serves as a metric for monitoring the gearbox’s operational status, with the unit’s health score being derived from an enhanced encoder architecture.
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Wang et al. (2024) studied this question.
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