Introducing Our Work

This month I'd like to share with everyone that I've added a new area to the Cloudforest website, dedicated to examples of our work - a collection of technical projects I can share and talk about in the public domain.

As well as overviews, there are links to the source code repositories, where you can see the nuts and bolts of each project - Concrete examples of how projects are structured, problems are approached and solutions developed. All our software repositories are hosted on Github.

You can access the Cloudforest portfolio page directly here, and the source-code landing point on GitHub is here.

Take a look!

Portfolio Entries

There are two entries as I write this (more will be added in the coming months) - A research project undertaken on turbofan maintenance analytics, and a project to make modelling predictions about temperature behaviour in an automotive motor.

I've written in-depth articles about both projects in our News section.

Turbofan Maintenance Analytics

In this project, Cloudforest developed a series of machine learning models for predicting Remaining Useful Lifetime (RUL) for aviation turbofan engines, based on a synthetic dataset made publicly available by NASA.

Creating and deploying this type of predictive model allows operators to optimise engine maintenance regimes, and can highlight when an engine is behaving abnormally, improving safety.

You can access the project overview here, and if you'd like to browse the source code: here.

Electric Motor Modelling

Here, a 140-hour bench test dataset was used to train machine learning models capable of predicting temperature in an automotive electric motor. These types of models can be used alongside the motor controller to improve efficiency, and enable sensors to be removed, lowering cost and weight.

A key objective of this project was to develop fast, efficient models - Sufficiently performant to run quickly on embedded hardware, enabling replacement of realtime sensor inputs.

The project overview is here, and again the source code can be found on Github here.

I'll be adding more entries over the coming months to showcase some of the other interesting projects I've been working on in the modelling and analytics space, so please check back soon.

Thanks for reading, and as always please get in touch if you'd like to find out more.

Paul