SKF has extended its Microlog Analyser family of data collection devices with a new model that offers faster measurement collection and greater diagnostic power. “The new SKF Microlog Analyser, that is part of our broad portfolio of condition monitoring solutions built on state of art technologies, is a powerful tool for standalone troubleshooting, as well as being part of a comprehensive predictive maintenance programme,” says Janne Westerlund, director of Services & Technologies EMEA. “The Microlog Analyser dBX, together with our analytic software, is providing best in class information and insights of customers’ rotating asset health.”
This unique portable solution, coupled with analytic software, significantly improves the scheduling of the maintenance of rotating machines. When used as part of a condition monitoring solution, it can detect issues with rotating machinery quickly and accurately.
The device allows the user to carry out a range of tasks including impact tests, digital recording, modal analysis, multi-plane balancing and cross channel phase. It can be applied in any type of industries including pulp and paper, food and beverage, renewable energy, mining, off-highway, metals, automation and marine.
The Microlog is backwards compatible with SKF’s proven existing Microlog CMXA Series and adds new technology including a high-resolution, 25 cm screen that can display up to six measurement windows at the same time, and an embedded camera. Furthermore, it features a hybrid touch and keypad control, and simplified navigation, making it more comfortable and easy to use.
Why the human firewall is important in the age of phishing and AI
IT in Manufacturing
Cybersecurity has long been a game of cat and mouse, with attackers innovating just as quickly as defenders can adapt. The most vulnerable point in any organisation’s cyber defence is still the human being behind the screen.
Read more...Overcoming reactive maintenance Rockwell Automation
IT in Manufacturing
Dunlop Aircraft Tyres is leveraging technology from Rockwell Automation to optimise maintenance operations, affirming the significant role of digital tools in industrial maintenance management.
Read more...How AI, digital twins, and predictive analytics are reshaping mining’s future Schneider Electric South Africa
IT in Manufacturing
For mining companies across sub-Saharan Africa, the competitive gap is becoming harder to close through conventional methods alone. One of the clearest areas of value is predictive and prescriptive maintenance. AI and advanced analytics now allow mines to move from reactive to predictive operations.
Read more...Closing the energy efficiency gap at SKF’s Tech & Innovation Summit SKF South Africa
News
SKF is hosting its yearly virtual Tech & Innovation Summit, bringing together industry leaders and experts to showcase technologies, products and solutions designed to help close the energy efficiency gap in industrial operations.
Read more...Install and commissioning time cut by 50% thanks to digital twin insights Rockwell Automation
IT in Manufacturing
ECM Technologies, a world leader in the design and manufacture of innovative and modular low-pressure carburising industrial furnaces, has developed a solution that removes many of the installation and commissioning challenges relating to the development, testing and deployment of large-scale heat treatment plants.
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.
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.