Predictive Maintenance

Digital monitoring for powertrains now available

02 August 2018

A suite of digital solutions including sensors, software and services that enable users to digitally “see” operational variables of motor-driven applications through a single, integrated, one-stop portal, is available from ABB. ABB Ability Digital Powertrain provides a digital advantage that can improve engineering efficiency, safety, equipment uptime and production output, while reducing risks and costs in everyday operations.

Included as part of the service offering is ABB Ability Condition Monitoring for assets including drives, motors, bearings and pumps. This service provides customers with access to a monitoring portal, from which key operational parameters of individual assets can be viewed. Based on information displayed, customers can take action that leads to less down time, extended equipment lifetime, lower costs, safer operations and increased profitability.

ABB’s expertise across multiple industries is built within the condition monitoring service, thereby giving customer first hand insight into powertrain performance. A detailed report on equipment status along with further maintenance recommendations can be produced.

Among other sensors and services offered by the ABB Ability Digital Powertrain include:

ABB Ability Predictive Maintenance for drives:
This service combines cloud computing, machine learning and ABB’s expertise to provide highly targeted maintenance actions for critical drive applications before any problems occur. 

ABB Ability Smart Sensor for motors (or pumps or mounted bearings):
This sensor converts traditional motors, pumps and mounted bearings into smart, wirelessly connected devices. It measures key parameters from the surface of the equipment which can be used to gain meaningful information on the condition and performance of the equipment, enabling users to identify inefficiencies within their system and to reduce risks related to operation and maintenance. Maintenance can be planned according to actual needs rather than based on generic schedules. This extends the lifetime of equipment, cuts maintenance costs and reduces or prevents unplanned downtime due to breakdowns.

For more information, visit: http://bit.ly/2MbGnC9 


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Predictive Maintenance

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