Predictive Maintenance Neural Control Algorithm for Defect Detection of the Power Plants Rotating Machines Using Augmented Reality Goggles

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چکیده

The concept of predictive and preventive maintenance constant monitoring the technical condition industrial machinery is currently being greatly improved by development artificial intelligence deep learning algorithms in particular. advancement such methods can vastly improve overall effectiveness efficiency systems designed for wear analysis detection vibrations that indicate changes physical structure components as bearings, motor shafts, housing, well other parts involved rotary movement. Recently this was also adapted to field renewable energy automotive industry. core presented prototype an innovative interface interconnected with augmented reality (AR). proposed integration AR goggles allowed constructing a platform could acquire data used evaluation enable direct interaction user. allows utilization analyze generated drive system determine wind turbine model monitored image processing measures frequencies machine.

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ژورنال

عنوان ژورنال: Energies

سال: 2021

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en14227632