Focus on: Maintenance 4.0 Maintenance Matters June/July 2024 www.pwemag.co.uk Plant & Works Engineering | 13 of a part, the processes that take place during its manufacture, and the potential for certain defects to result in this scenario. Using this, you can help the mechanical designer make optimal decisions based on the data. Design engineers The data could also help design engineers explore different options and their suitability. For example, let’s say an engineer wants to design a part that is thinner in a specific area and use a specific material for this purpose. Using data from other inspected parts, you might extrapolate that using material x at this particular level of thickness leads to an increased incidence of defects, or using a particular process in combination with this material makes it more prone to break. Although further away, this is a possibility that engineers and AI specialists are already talking about. It is sometimes referred to as the ‘expert system’ and is similar to the Artificial General Intelligence (AGI) that you read about in media headlines. As we move beyond the first level of predictive maintenance toward multi-sensor approaches, the world of Big Data will open exciting possibilities. However, this next step is not the final chapter in the story. While we keep one foot planted in the present, we can still imagine a future where intelligent systems not only harness data to optimise maintenance activity but are capable of fundamentally reshaping the manufacture of the product itself. For further information please visit: www.qualisense.ai TECHNICAL TRAINING SOLUTIONS Providing Electrical, Instrumentation & Mechanical Practical Skills Training for Industry since 1980 LEARNING BY DOING technicaltrainingsolutions.co.uk tech.training@zen.co.uk 01634 731 470
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