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been predictive maintenance, where companies can predict the failure of different machines and, hopefully, before the machine breaks, they can fix it. This is actually a common and popular application because it brings return on investment immediately – if a company can eliminate a plant failure or a machine failure, it can actually save a lot of money.
The workaround for this is to take the model, design model or the PLM model, for products when they were designed and couple that with the accumulated operational data, as the machine has been performing over a period of time, and it becomes a powerful digital twin of that product. This can be used to start analyzing the performance and actually looking at how to improve the performance of that particular machinery. “So, there will be more and more digital twins of different kinds of products, over the coming years,” Mr. Chatha concluded.
