Remaining useful life prediction using motorized system transfer functions

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arsalan khan 2023-12-14

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编辑： Walter Roberson 2024-1-20

Dear all, I want to predict 'remaining useful life' of a motorized system whos estimated and verified transfer function we calculated 5 years before and now after 5 years we calculated it again. We found significant reduction is system performance w.r.t to bandwidth,tracking response etc.

Now i want to predict when this machine will require major rehauling or will face total failure.

Can anybody guide me....

how i can predict using estimated tranfer functions of 5 years gaps.

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Answer 1

Andy 2023-12-15

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编辑：Walter Roberson 2024-1-20

One way to do this is to form a ARMA model of the transfer function. If you know the input and output signals, you may should be able to estimate, using a RLS or similar algorithm, the weights of the ARMA model of the transfer function for both a healthy motor and a degraded model. This may give you more of an insight.

http://dspace.lib.cranfield.ac.uk/handle/1826/13665

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arsalan khan 2023-12-16

dear thanks. I have ARMA models and no doubt their weights are different and they showed me degradation but how i can estimate RUL using predictive maintenance toolbox.

arsalan khan 2023-12-18

Any info how i can get RUL?

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Answer 2

Andy 2023-12-14

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Hi Arsalan,

I would start by looking at examples in the Predictive Maintenance Toolbox, there will be an example of something similar to what you want to do.

https://uk.mathworks.com/products/predictive-maintenance.html

Best regards,

Andy

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arsalan khan 2023-12-14

Yes i tried using examples but my RUL estimate (estRUL) always comes ZERO...any specific example where i can find using two transfer functions one (perfect condition) and other one (degraded condition) to get future life prediction.

arsalan khan 2023-12-15

which specific strategy i need to apply..do i need to I try 'residual similarity model'

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Remaining useful life prediction using motorized system transfer functions

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