Rockwell Automation has combined professional services, powerful machine-learning algorithms and predictive analytics software to offer predictive and prescriptive maintenance. With these new capabilities, industrial operators can predict maintenance needs and perform the necessary repairs before failure occurs. This allows manufacturers to avoid costly downtime and improve productivity.
Predictive maintenance is the latest offering in the expanded Information Solutions portfolio from Rockwell Automation, helping manufacturers solve the issues that arise in their facility. The solutions can also scale to your business and manufacturing process by leveraging Rockwell Automation implementation, cloud monitoring and on-site response services.
“Unscheduled downtime is one of our customers’ top threats to maximising revenue,” said Christo Buys, business manager for control systems, Rockwell Automation sub-Saharan Africa. “Machines equipped with predictive and prescriptive analytics capabilities can help manufacturers avoid this critical risk through improved maintenance. These machines directly ask the maintenance department for assistance – but only when assistance is necessary. This helps our customers improve equipment uptime while lowering maintenance costs.”
Predictive maintenance solutions delivered by Rockwell Automation help inform operators how and why a machine is degrading, and then prescribe the best corrective course of action. This allows operators to conduct necessary, specific maintenance rather than reacting to machine failures or wasting time on undue repairs. The software integrates with FactoryTalk Historian software from Rockwell Automation and an industrial asset-management system.
The predictive maintenance software learns patterns that precede the downtime events identified in your maintenance history, and then trains agents to recognise those same patterns in the future. As new data is generated, machine-learning agents offer around-the-clock tracking of all live sensor data, looking for the patterns identified. Additionally, agents can watch for atypical patterns that may represent new failure modes to be investigated.
Prescriptive alerts can be put into action through convenient email and text alerts, a web application, or integration with computerised maintenance management systems. The predictive maintenance software also includes a work-order capability, which operators can use to manage alerts in the absence of an existing system.
Rockwell Automation provides integration services to deploy the predictive maintenance software on the premises, via the cloud or as a hybrid of both. Remote monitoring services can monitor the solution, prescribe critical preventive maintenance tasks, modify predictive algorithms as new failure modes are detected, and even provide on-site response to perform maintenance tasks. This allows industrial companies to realise the benefits of predictive maintenance without training staff to support the technology.
Schneider Electric’s Five-Pillar Strategy takes the guesswork out of equip Schneider Electric South Africa
IT in Manufacturing
Schneider Electric’s Field Service Cycle, otherwise known as the Five-Pillar Strategy, is a structured approach to managing the lifecycle of equipment to prolong asset lifespan while reducing the total cost of ownership for customers.
Read more...Laying the groundwork in IT/OT
IT in Manufacturing
In the realm of manufacturing, the core mandate is to deliver value to stakeholders. For many in the industry, this is best achieved through a risk-averse approach. Only upon establishing a robust foundation should a business consider venturing into advanced optimisation or cutting-edge technological innovations such as industrial AI.
Read more...Looking into the future of machine vision Omron Electronics
IT in Manufacturing
Artificial intelligence (AI) is driving a significant transformation in all areas of industrial automation, and machine vision is no exception. Omron’s AI-powered machine vision systems seamlessly integrate state-of-the-art algorithms, enabling machines to analyse and interpret visual data meticulously.
Read more...Driving digital transformation in the truck industry Siemens South Africa
IT in Manufacturing
Tatra Trucks, a leading truck manufacturer in Czechia, has adopted the Siemens Xcelerator portfolio of industry software including Teamcenter software for product lifecycle management and the Mendix low code platform to help increase production volume and strengthen its ability to manufacture vehicles that meet specific customer requirements.
Read more...Opinion piece: Digital twins in manufacturing – design, optimise and expand Schneider Electric South Africa
IT in Manufacturing
Digital twin technology can help create better products, fast. It can also transform the work of product development. This strong statement from McKinsey reinforces how far digital twins have come in manufacturing.
Read more...Asset tracking is key to driving operational excellence and sustainable growth Schneider Electric South Africa
IT in Manufacturing
Asset tracking plays a critical role in the success of industrial businesses. By effectively managing and monitoring assets, companies can optimise their operations, ensuring that resources are used efficiently. This leads to improved productivity and reduced costs.
While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.
printer friendly version