Manufacturers want to use simple and affordable wireless technology to monitor more equipment in their facilities. SKF Axios is a fully automated condition monitoring solution which fulfills this need. It is comprised of sensors, gateways and a machine learning service that is easy to install, commission, and scale with no experience necessary, allowing sensors and apps to be operational within minutes. It detects anomalies and pushes notifications, allowing for quick action, to avoid unexpected machine failures.
SKF’s team of vibration analysts and engineers will continue to be an integral part of helping customers improve the reliability of their equipment. SKF Axios complements SKF’s current portfolio of sophisticated condition monitoring products, and now provides industrial companies with a simple solution to broaden their rotating asset predictive maintenance programmes.
John Schmidt, president of Industrial Region Americas, says: “With SKF Axios, we are able to provide a larger portion of the industrial market with actionable insights, leading to improved decision making, and more efficient maintenance planning and scheduling. Through leveraging these insights and SKF’s knowledge of rotating equipment, customers can improve machine performance and overall reliability of their operations.”
Vasi Philomin, vice president of AI Services at AWS, says: “These solutions enable industrial customers to make better decisions faster, increasing operational efficiency and reducing the costs associated with unplanned equipment downtime. We remain committed to offering our expertise in cloud solutions, IoT systems, and machine learning to enable SKF to constantly innovate and enhance their industrial products and services.”
SKF achieves SaiMechE CPD accreditation SKF South Africa
News
SKF South Africa has achieved SaiMechE CPD accreditation, a decisive step that empowers the next generation of engineers.
Read more...Siemens ecosystem strengthens data and AI integration Siemens South Africa
IT in Manufacturing
Siemens has announced significant expansions to its Industrial Edge ecosystem, accelerating data and AI integration and releasing enhanced cybersecurity functionalities. These enable a seamless integration of IT and OT environments, optimise processes and reduce operational disruptions.
Read more...Siemens manages shipbuilding process for HD Hyundai Siemens South Africa
IT in Manufacturing
Siemens has been selected by HD Korea Shipbuilding & Offshore Engineering as a preferred partner to establish an integrated platform to manage the entire shipbuilding process as a single data flow to help ensure consistency across all its global shipyard facilities.
Read more...Transforming the process industry through digitalisation Endress+Hauser South Africa
IT in Manufacturing
By connecting field devices, systems and people, digitalisation creates new opportunities to optimise operations, enhance maintenance strategies and support continuous improvement. As a leading instrumentation provider and major source of process data, Endress+Hauser plays a key role in enabling this transformation.
Read more...The assets you can’t see are the ones that can shut you down
IT in Manufacturing
ABEGuardOT is an asset management solution that delivers continuous, non-intrusive visibility across multi-vendor environments, including Siemens, Rockwell, ABB, Honeywell, Schneider Electric, Emerson, GE and Yokogawa, with support for OPC UA, EtherNet/IP, Modbus and Profibus.
Read more...Sealed split spherical roller bearings slash MTTR by 70% SKF South Africa
Motion Control & Drives
SKF Cooper sealed split spherical roller bearings have a unique split design combined with a robust sealing system. These innovative bearings enable fast, simple, onsite, in-place bearing replacement or repairs even in hard to reach areas.
Read more...Edge I/O NTS and the need for industrial speed Schneider Electric South Africa
IT in Manufacturing
One of the most compelling solutions to emerge from industrial automation is Edge I/O NTS, which represents a natural evolution of computing from centralised servers to localised, device-level input/output processing, offering improved speed, efficiency and resilience.
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