An AI Driven Real-time 3-D Representation of an Off-shore WT for Fault Diagnosis and Monitoring

In recent years, digital twin (DT) has been an efficient and reliable representation tool for Industry 4.0 in general and fault diagnosis and monitoring, especially in machinery consisting of several components working in tandem that introduce a large amount of data to be processed. Having a cloud-based and platform-independent system that can interpret Big Data in real-time and represent the processed information in a user-friendly manner offers the opportunity not only for improving fault diagnosis and troubleshooting automation, but also offering a better representation of data for operators, technicians and engineers. This not only decreases the repair costs by enabling constant components' state of health awareness, but also increases the efficacy of the apparatus by lowering the downtimes due to faults and issues.