ABB

ABB brings AI to asset performance management

ABB has strengthened its existing digital offerings with the launch of the ABB Ability Genix Asset Performance Management (APM) Suite for condition monitoring, predictive maintenance and 360-degree asset performance insights for the process, utility and transportation industries.

The Genix APM Suite makes it easy to add asset condition monitoring to existing operational technology (OT) landscapes, enables prioritization of maintenance activities based on AI-informed predictions, and provides a comprehensive overview of asset performance.

The Genix APM Suite also empowers significant improvements in operational sustainability. By assessing the remaining useful life of industrial assets, Genix APM generates a plan for preventive maintenance, which can extend equipment uptime by as much as 50% and increase asset life by up to 40%1.

With reliable data insights, decision makers are provided with the information required in order to identify gaps and areas of improvement for energy efficiency and tighter control of operations, increasing asset availability and improving profit potential.

“Poor asset availability and reliability is a major problem that results in unplanned downtime and unexpected maintenance costs, and also impedes strategic planning and procurement,” said Rajesh Ramachandran, Chief Digital Officer at ABB Process Automation. “It’s not that industrial customers lack data; it’s that many lack effective ways to use their data to improve operational and business performance.”

Genix APM is built on the ABB Ability™ Genix Industrial Analytics and AI Suite. ABB Ability Genix is a modular, IIoT and analytics suite, which integrates IT, OT and other enterprise data in a contextualized manner, applying advanced industrial AI capabilities that support new insights to optimize operations.

www.abb.com

x

Related articles:

Issue 1/2022 ABB MOTION

Mokrá relies on predictive maintenance

The cement factory in Mokrá is one of the largest and most modern cement plants in the Czech Republic and is a part of the German company HeidelbergCement. The technology used by the cement plant...

more
Issue 7/2022 ABB

Better decisions in cement strength prediction with artificial intelligence

In edge analytics, processing tasks are executed in the proximity of where the data is generated (eg., on site) in order to enable faster response times [3-4]. Example applications in process...

more
Issue 3/2019 ABB

ABB Ability Smart Sensor checks condition of bearings 

ABB has launched the ABB Ability™ Smart Sensor for Dodge mounted bearings, part of the ABB Ability Digital Powertrain, that enables “health checks” for bearings. The smart sensor technology...

more
Issue 4/2014 SIEMENS AG

Condition Monitoring increases availability of vertical mills

Condition Monitoring increases availability of vertical mills

Condition Monitoring Systems: rather integrating than retrofitting The use of Condition Monitoring Systems (CMS) is state of the art in modern industrial plants. However, they are still retrofitted in...

more
Issue 5/2017 CASSANTEC AG

Predictive maintenance

More and more plant operators are coming to rely on predictive maintenance. Maintenance scheduling can be optimized with the help of asset condition monitoring and innovative software solutions. The...

more