In this first eBook of its series we take a look at “What is Predictive Maintenance?.” In future posts we will cover how we can use MATLAB to Extract Condition Indicators, Estimate Remaining Useful Life, and so much more.
In this post, we will show you how we typically make use of Opti-Num’s Data Management Framework and PowerBI to process, model and visualise your big data into dynamic and insightful views tailored to your business needs.
Pre-processing of features or predictor variables for the development of machine learning models is usually a tedious process. The MathWorks has come to the rescue with a function called screenpredictors that was released with the R2019a MATLAB version. Several customers have commented on its usefulness, which is why I’ve been inspired to write this post.
Verushen Coopoo, Application Engineer Opti-Num Solutions (2019) In this script, we demonstrate MATLAB’s machine learning abilities to build a regression tree that will be used to forecast the 10-day volatility of Bitcoin. We show that in one environment, you can download up-to-date Bitcoin data, rapidly prototype a machine learning model, and then test and evaluate […]
Congrats to the Boks! For the recent Rugby World Cup a few members of the Opti-Num team participated in a sports prediction game using the SuperBru platform. Points were awarded in the Rugby World Cup for: Predicting the correct winning team Predicting the correct margin of winning Many of us used our rugby knowledge, patriotism […]
Predictive maintenance uses data to monitor the condition of equipment. Using fourth industrial revolution techniques means reduced failures, less machine downtime, reduced maintenance costs, and so much more. Most industrial plants collect large amounts of sensor data from their equipment. The sheer volume of data may leave most people thinking “What now?”. Using this data to inform smart business decisions requires a rare combination of both domain and statistical expertise.
Timely and convenient access to data is crucial in the world of finance to enable rapid and informed decision-making. To address this need, we have developed a web app in MATLAB that demonstrates how data access and custom analytics can be made accessible across an organisation. The app shows a very simplistic workflow that allows […]
More and more manufacturers are adopting a new approach to process optimisation by integrating practical advances in technology into their day-to-day operations. The concept is built around developing a plant-wide collaborative process that results in efficiency gains that would otherwise have been missed. Many global tech and industry experts believe that this approach is the […]
Verushen Coopoo, Application Engineer Opti-Num Solutions (2019) In this script, we demonstrate the strength of MATLAB’s optimisation capabilities to construct a portfolio driven by smart beta investment techniques. We do not advocate for the use of any particular investment or trading strategy, but rather demonstrate how to import your own data, implement a custom-made optimisation […]
Are you looking to make your classes more relevant and engaging? Drones have increased functionality and have decreased in size, making it easier to bring into classrooms. They do not cost a lot and have significant benefits, making teaching and learning so much more fun and enriching. It is a modern dynamic educational model that […]
An essential aspect of the mining process is the froth flotation process. This removes impurities from minerals, such as silica from iron ore, which ultimately determines the quality of the product. In this article we focus on how neural networks can be applied to the mineral extraction process, ensuring products of a higher quality. The […]
Regulatory Technology (RegTech) refers to the use of new technology such as Artificial Intelligence to improve how companies adhere to regulatory requirements. The RegTech app, developed in MATLAB, aims to accelerate and automate tedious regulatory data extraction processes. Data capturers at financial institutions constantly capture data from IDs, payslips and proofs-of-address. By using deep learning […]