Remaining useful life prediction using motorized system transfer functions

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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.

采纳的回答

Andy
Andy 2023-12-15
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.
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arsalan khan
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.

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更多回答(1 个)

Andy
Andy 2023-12-14
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.
Best regards,
Andy
  2 个评论
arsalan khan
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.

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