mapr-demos / predictive-maintenance

Demonstration of MapR for Industrial IoT
Apache License 2.0
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How to Get RUL Value? #4

Open Yusufhr02 opened 2 years ago

Yusufhr02 commented 2 years ago

Hi, im so interesting with your code. I'm still learning about predictive maintenance, but i don't know how to get RUL value there. Is there any code can produce that? Because I wan't to modify it to my project but not about Engine airplane

Big hopes you will reply me, Thanks

tdunning commented 2 years ago

Remaining Useful Life (RUL) is just one parameter that you can build a model to predict.

What kind of system are you looking at? What historical data do you have? What is the machine learning experience of your team?

On Tue, Aug 2, 2022 at 7:54 AM Yusufhr02 @.***> wrote:

Hi, im so interesting with your code. I'm still learning about predictive maintenance, but i don't know how to get RUL value there. Is there any code can produce that? Because I wan't to modify it to my project but not about Engine airplane

Big hopes you will reply me, Thanks

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TheIndianBro commented 3 months ago

Hi, Me and My team are working on a Predictive Maintenance model for Industry 4.0.We just saw the work you did but didnt get the origin of the data like of which machine the data is of and in which year it was collect.If possible pl. can u provide a breif info of this dataset.

Pl. reply a humble request Sir Thanking You, Machine Learning Enthusiast

tdunning commented 3 months ago

As it says in the README file, the data for this demo is a simulated heating/ventilation/air conditioning (HVAC) system.

This simulation includes normal activity changes due to active use as well as thermal inputs from solar effects. It is not intended to be super realistic, but does mean to be realistic enough to see plausible effects. It is a demo. Such a system undergoes various degradations over time according to usage due to mineral buildup in chiller plants, dirt in fans, lack of lubrication and so on.

Another example of a similar simulation can be found here:

https://github.com/tdunning/freezer

In addition, the log-synth system can generate more or less realistic time series data.

TheIndianBro commented 3 months ago

Thankyou so much Sir. Happy to connect with you. Can we connect through any other social media platform(X or WhatsApp or any messaging App) like me and my team would have more doubts and also need genuine guidance from an Industry 4.0 expert.

A humble Request Sir.

tdunning commented 3 months ago

Sure. I am @ted_dunning on Twitter. @ted_dunning@mastodon.social mastodon.social on Mastodon and on Bluesky, I am @tdunning.bsky.social