By pulling together previously disparate condition data from various assets, such as valves, switches, sensors, motors, switchgear, gearboxes and conveyors to collectively analyze and compare all data, ABB is able to provide forewarning of a potential fault (i.e., lubrication failure) with a proposed solution - all with enough time to address it before production is affected. A critical analysis of each asset, equipment or component takes into account failure modes, available control system data, as well as information from pre-installed expert condition monitoring systems and datasheets.
There are four stages to implementing a thorough predictive maintenance strategy using this ABB service. During an on-site assessment, ABB’s experts, together with site maintenance specialists, evaluate the precise maintenance needs. A long-term solution is then designed based on business goals and technologies available. In the next stage ABB’s team deploys the online condition monitoring application. Finally, ABB remotely measures and optimizes maintenance performance and presents results in periodic reports. Under a service agreement
ABB ensures the application is always up-to-date so that customer operations, maintenance and automation departments share the same knowledge and can focus on their daily work.