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.
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Andy
2023 年 12 月 15 日
編集済み: Walter Roberson
2024 年 1 月 20 日
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.
その他の回答 (1 件)
Andy
2023 年 12 月 14 日
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
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