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.
Range of CDUs to meet the rising demands of HPC and AI workloads Schneider Electric South Africa
IT in Manufacturing
Motivair by Schneider Electric has introduced two new coolant distribution units that are engineered to meet the rising thermal demands of HPC and AI workloads.
Read more...Siemens drives next-generation vehicle development Siemens South Africa
IT in Manufacturing
The Siemens PAVE360 Automotive technology is a new category of digital twin software that is pre-integrated and designed as an off-the-shelf offering to address the escalating complexity of automotive hardware and software integration.
Read more...How digital infrastructure design choices will decide who wins in AI Schneider Electric South Africa
IT in Manufacturing
As AI drives continues to disrupt industries across the world, the race is no longer just about smarter models or better data. It’s about building infrastructure powerful enough to support innovation at scale.
Read more...How quantum computing and AI are driving the next wave of cyber defence innovation
IT in Manufacturing
We are standing at the edge of a new cybersecurity frontier, shaped by quantum computing, AI and the ever-expanding IIoT. To stay ahead of increasingly sophisticated threats, organisations must embrace a new paradigm that is proactive, integrated and rooted in zero-trust architectures.
Read more...2026: The Year of AI execution for South African businesses
IT in Manufacturing
As we start 2026, artificial intelligence in South Africa is entering a new era defined not by experimentation, but by execution. Across the region, the conversation is shifting from “how do we build AI?” to “how do we power, govern and scale it responsibly?”
Read more...Today’s advanced safety system is but the beginning Schneider Electric South Africa
IT in Manufacturing
Industrial safety systems have come a long way since the days of hardwired emergency shutdowns. Today, safety systems are not just barriers against risk; they are enablers of safer operations.
Read more...Siemens brings the industrial metaverse to life Siemens South Africa
IT in Manufacturing
Siemens has announced a new software solution that builds Industrial metaverse environments at scale, empowering organisations to apply industrial AI, simulation and real-time physical data to make decisions virtually, at speed and at scale.
Read more...Five key insights we gained about AI in 2025
IT in Manufacturing
As 2025 draws to a close, African businesses can look back on one of the most pivotal years in AI adoption to date as organisations tested, deployed and learned from AI at pace. Some thrived and others stumbled. But the lessons that emerged are clear.
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