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Smart Mining & Manufacturing

26 Nov 2019

AI in Industry 4.0: I have all this sensor data… Now what?

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.

18 Apr 2018

Geotechnical Sensor Analysis – Kriging or Gaussian Process Regression for Fracture Risk in Mining.

Geotechnical Sensor Analysis – Kriging or Gaussian Process Regression for Fracture Risk in Mining. The ability to make informed and quick decisions is invaluable in any operation. Mining operations are particularly safety aware. For geotechnical experts to assess risks and decide on the appropriate procedures quickly, can save lives and save money. In mining operations […]

18 Feb 2020

Part 1: What is Predictive Maintenance?

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. 

24 Apr 2018

Industry 4.0 Applications – How do they get Operationally Deployed?

Industry 4.0 Applications – How do they get Operationally Deployed? The advent of Big Data and Industry 4.0 has lead companies to drive enterprise-wide digitalisation strategies. Engineers are now being tasked with implementing machine learning and deep learning into their projects to make their systems or applications ‘smart’. These challenges are mostly embraced and the […]

13 Mar 2020

Part 2: Using Condition Indicators for Predictive Maintenance

Learn how to Extract Condition Indicators for your machine learning algorithm so you can predict and prevent the next equipment failure. 

22 May 2018

Digital Transformation in MATLAB and Simulink with Predictive Maintenance and Digital Twin

In this webinar, we explore what is meant by predictive maintenance and the different workflows which can used based on the data available from a system. Learn about the value in implementing predictive maintenance, leverage machine learning techniques to get insights from sensor data and find out when you might create a digital twin of […]

04 Sep 2018

Industry 4.0 – Internet of Things and ThingSpeak

Industry 4.0 – Internet of Things and ThingSpeak   Internet of Things or “IoT” is becoming a popular buzz word these days. It is an emerging trend that describes a situation with embedded devices and sensors all connected to edge nodes, to upload sensed data to cloud storage resources. Data can be used in some […]

07 May 2019

AI in Industry 4.0: How do I access my data?

What do smart homes, self-driving cars, intelligent factory condition monitoring and fault diagnosis have in common? They all need data This data often exists in several different formats The data changes with time The first step in any Machine Learning workflow involves accessing the data you want to work with. If you have worked with […]

04 Jun 2019

AI in Industry 4.0: Make Big Data Work For You

Accessing and processing of data can be done entirely within MATLAB, no matter where it might be stored, including SQL/NoSQL databases, Spark™, and/or Hadoop®. Find out how you can tackle Big Data with MATLAB

28 Jun 2019

AI in Industry 4.0: Getting started with Machine Learning

Machine learning has made its mark! From medical diagnostic tools, speech recognition (think Siri and Alexa) to movie recommendations and predictive maintenance; machine learning techniques are being used to make critical business and life decisions.