Instrumentation
specific intervals. This data is particularly useful for determining the health of sleeve bearings on turbo machinery. This automated process for acquiring prediction data eliminates the need to connect to buffered outputs on the protection system and reduces the risk of inadvertently causing a machine trip. AMS Machinery Manager integrates
data from route-based, online and wireless vibration solutions as well as third-party oil and infrared analysis
S
data to provide a complete picture of machinery health. ABB is also focused on the diagnostic
aspect of smart metering technology with the launch of a new package of remote services for gearless mill drives (GMDs). GMDbeat and GMDfit anticipate the behaviour of grinding assets by analysing the past and the present to predict the future by utilising system health checks, on-demand remote support and condition monitoring.
In the case of a critical machine condition a notification is still sent to ABB and the customer’s maintenance team. The incident is handled as a prioritised SupportLine case, even if no actual system failure occurs.
Sense of urgency drives industrial IoT strategy
ome estimates suggest that worldwide spending on the industrial internet – the combination of big data analytics with the Internet of Things – could top $500 billion (€461
billion) by 2020. As such it is producing huge opportunities for all companies in the process sector. However, one of the most striking findings in Accenture’s Industrial Internet Insights Report for 2015 is the sense of urgency felt by respondents in implementing industrial internet solutions. This is driven in part by the impact being felt at an industry level as well as the competitor level. For example, 84% of those surveyed indicated that the use of big data analytics ‘has the power to shift the competitive landscape for my industry’ within just the next year. 87% believe it will have that power within three years. 89% say that
companies that do not adopt a big data analytics strategy in the next year risk losing market share and momentum.
Executives are looking over their shoulders at competitors as well, says the report. 74% said that their main competitors are leveraging big data analytics proficiencies to differentiate their capabilities with clients, investors and the media. There is risk in not taking action now, according to surveyed
executives. Asked to name their top two fears if they are unable to implement a big data strategy in the next few years, the number one answer was, “Our competitors will gain market share at our expense.” The second most common answer was concern that investors will lose confidence in their company’s ability to grow. n
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