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Industry: Agriculture, Aviation, Construction, Maritime, Mining, Oil & Gas, Petrochemical, Power

IoT and remote monitoring optimises container shipping

Riviera Maritime

21/04/2021

Riviera Maritime Media’s Vessel Optimisation Webinar sheds light on how participating ship managers and ship owners are using IOT and data analytics solutions to improve sailing performance, reduce fuel emissions and benchmark their fleet performance. The webinar also shared the latest options available to ship owners in terms of telemetry, connectivity and comprehensive data platform solutions as well as the significant ROI achieved.
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How shipmanagers use data analytics to optimise engine performance

Riviera Maritime

04/03/2021

An interesting panel of technical experts at Riviera’s “How operators use data to optimise engine performance” webinar discuss the powerful combination of engine condition monitoring with ship performance analytics to optimise their vessel, and the key procedures and technologies to successfully lower fuel costs, reduce emissions, minimise propulsion issues.
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Digitizing Risk-based Integrity Management of FPSOs with data analytics

Maritime Logistics

23/10/2020

ABS classification society SVP discusses how a digital strategy applied to an FPSO can impact its entire value chain, from equipment and inventory to operational efficiency, including optimization of inspections and onboard activities. Coupling these digital solutions with traditional risk-based inspection and maintenance planning techniques has shown a 10:1 ROI opportunity over the total asset life due to optimized repair and inspection planning.
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6 case studies illuminate the value of predictive maintenance

Plantservices.com

21/10/2020

Plantservice editor shares six case studies illustrating some of the numerous ways predictive maintenance and Prescriptive maintenance are transformative. Clear benefits in preventing costly unplanned downtime and lower costs have improved financial justification and driven adoption in a wide range of industries.
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Wärtsilä to deploy Expert Insight in Optimised Maintenance Agreement

The Maritime Executive

11/05/2020

Engine manufacturer Wärtsilä is leading the way with its remote support with condition monitoring systems including Expert Insight, Wärtsilä’s unique predictive maintenance product, which utilises artificial intelligence (AI) and advanced diagnostics. The solution is expected to deliver an estimated 50 percent reduction in unplanned maintenance requirements, and an improvement of 2 to 5 percent in fuel efficiency.
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The new age Propulsion Condition Monitoring Service: Key to predictive maintenance and optimal uptime

Wartsila

13/03/2019

Wärtsilä follows through on their data strategy with the deployment of their updated Condition Monitoring Service. The service allows Wärtsilä not only to automatically detect a possible future failure but also to schedule and carry out the required maintenance in a way that minimises stoppages and costs and maximises operational efficiency for the customer. The CMS can be installed on all kinds of vessels. Going forward, Wärtsilä intends to expand the scope to include all types of rotating equipment.
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AI makes experts more curious and proactive

Wärtsilä

21/08/2018

As machinery becomes more complex, Artificial Intelligence and automation stand greatly to enhance the performance of CBM systems, relying less on the rigid rules of engineering and more on the flexibility offered by ML algorithms. Wartsila share their point of vue on how the combination of raw processing power of an AI system with the deep understanding of equipment experts can create the CBM system of the future to support their customers in managing their complex assets.
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Data Analytics in the Maritime Space

Marine Link

24/10/2017

Ship owners and operators, machinery OEMs and regulatory entities are embracing much needed technological innovation to manage aging and ever complicated maritime assets. Walter Mitchell makes his case on how predictive analytics platforms can greatly assist shipping operators by allowing for more precise planning of maintenance and capital replacement. The result is that the life of the machine can be extended, yielding stronger control over maintenance and capital equipment replacement budgets.
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