Plant & Works Engineering June 2022

Focus on: Condition Monitoring June 2022 sending it to the correct location based on abnormalities, business rules and algorithms. Only the necessary data is sent to the cloud or data centre, enabling large savings in bandwidth and cloud service costs. What’s more, the real-time ability at the edge can leverage automatic changes to production according to a pre-determined algorithm or be evaluated by equipment operators and facility managers to make informed decisions. Predict to prevent There are several processes that the real-time integration and analysis of data can benefit. One example is condition monitoring, which involves monitoring a certain parameter of machinery condition, such as vibration or temperature, in which a change could indicate the development of a fault. Condition monitoring can be used as part of a predictive maintenance strategy by running the condition data through pre-built predictive algorithms that can estimate when the piece of equipment might fail. This means maintenance work can occur in an organized way before the failure occurs either without the need to stop production or during planned downtime, which avoids the sudden and costly onset of unscheduled downtime. According to a predictive maintenance report by Deloitte 1 , adopting a predictive maintenance strategy can reduce breakdowns by 70% and increase equipment uptime by 20%. Dedicated to data An increasing number of manufacturers are adopting predictive maintenance strategies, as they allow systems to be maintained before failure occurs and run as long as possible Pneumatics, Hydraulics , Troubleshooting & Maintenance Courses Why Choose Thorite Academy? Programmes that Reflect Modern Industry Personalised and Practical Approach to Learning In House & Distance / eLearning Options Available Industry Recognised Training for Beginner & Advanced Delegates 0800 034 5850 www.thorite.co.uk *T&Cs apply Looking to Develop Your Existing Skillsets? EST. 1850 SCAN NOW /thorite-academy Johan Jonzon is CMO and Co-Founder of edge analytics platform developer, Crosser, says his company’s Edge Node software acts as a real-time engine, and its architecture hides complexity from the user so that it can be easily used by existing personnel. The software allows manufacturers to collect data from any source, such as sensors or PLCs, and build automated workflows to transform, analyse, and act on the data. Data is then processed at the edge to enable actions based on advanced business rules or codes to be performed rapidly. without interruption. An edge analytics strategy supports a predictive maintenance strategy, but it’s important that manufacturers choose a platform that is simple to integrate and operate. Long, and short, periods of downtime can be a costly reality, but can be minimised if manufacturers are informed on the real-time status of equipment and processes. Edge analytics allows the collection, integration and analysis of real-time data, enabling automatic changes to production while providing manufacturers with important data to make informed decisions and reduce unscheduled downtime. 1 : https://www2.deloitte.com/content/dam/Del oitte/de/Documents/ deloitte- analytics/Deloitte_Predictive- Maintenance_PositionPaper.pdf *Johan Jonzon is CMO and Co-Founder of edge analytics platform developer, Crosser