I am trying to look into innovative ways to do fault identification/classification. It looks to me that most of the literature available is dealing either with the data or the model and I am wondering if there is anything in particular available that can help with the combination of both.
I am more specifically working on a Reaction Wheel (RW) model. If anyone has seen a work related to this topic or has done anything in this area, it would be appreciated to share that with me.
Hi Razieh,
Thank you for your reply. But it is not what I am looking for. I am looking for data + model knowledge methods to classify faults/failures.
-Afshin
Hi Afshin,
There is a way to combine data and model for damage detection. It is based on data-driven subspace identification algorithms. This combines the modal model and the raw data. I can tell you more.
HI,
Here is a paper that combines model and data for SHM. Subspace based methods can also be developed for that. Cheers, Maher
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