Manufacturing, energy and transportation companies are increasingly benefiting from Industry 4.0 applications after years of hype. The emergence of digital twins is one of the main reasons engineering and design teams are actualising these benefits for their enterprises.
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AI is more than a model: Four steps to complete workflow success
Engineers are increasingly looking to successfully integrate AI into projects and applications while attempting to climb their own AI learning curve. To tackle AI, engineers start with wanting to understand what AI is and how it fits into their current workflow, which might not be as straightforward as it seems. A simple search of “What is AI?” yields millions of results on Google, with varying degrees of technical and relevant information.
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The role of predictive maintenance in Industry 4.0
By Philipp H. F. Wallner, industry manager, Industrial Automation & Machinery, MathWorks
Predictive maintenance offers the ability to anticipate equipment malfunctions before they occur, arrange repairs proactively, avoid stalling factory floor operations and most importantly, prevent the failure of machinery to keep businesses running efficiently. Figures from Deloitte show predictive maintenance can reduce the costs of maintenance by 5 to 10 per cent overall.
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Lessons learned to help companies overcome predictive maintenance scepticism
Predictive maintenance can provide measurable benefits for manufacturers who apply the technology on their production lines, says Mathworks industry manager Philipp Wallner.
Predictive maintenance
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MathWorks delivers additional AI capabilities to engineers and scientists
MathWorks has introduced the new Release 2020a with expanded AI capabilities for deep learning.
The release introduces an enhanced Deep Learning Toolbox that helps users manage multiple deep learning experiments,
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The Perplexities of Predictive Maintenance: Generating and Leveraging Failure Data
By Seth Deland, Mathworks
While having an estimate of the time until failure is useful, even more valuable is information that describes the type of failure expected to occur (the root cause).
Models
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5 Challenges to Deploying Real-Time Data Streaming Platforms
By Jean-Baptiste Lanfrey, Manager – Application Engineering and Training Services at Mathworks Australia
When ensuring the successful deployment and adoption of a real-time streaming platform,
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An Introduction to Deep Learning
Author: Johanna Pingel, product marketing manager, MathWorks
Deep learning is getting lots of attention lately, and for good reason. It’s making a big impact in areas such as computer vision
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Predictive maintenance using a digital twin
When industrial equipment breaks, the resulting problem often is not the cost of replacing that equipment but rather the resulting forced downtime. A production line standing still may mean thousands
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MathWorks releases 2019b of MATLAB and Simulink
MathWorks has introduced Release 2019b with a range of new capabilities in MATLAB and Simulink, including those in support
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