Tag: <span>Predictive Maintenance</span>

Spotting rotating equipment about to fail
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Spotting rotating equipment about to fail

Semiotic Labs has developed a tool to detect changes in vibration waveforms for rotating equipment, which can be used to predict problems on ships before they occur. Digital Ship spoke with Simon Jagers, founder of Semiotic Labs to find out how the company is detecting failures months before they occur.  Semiotic Labs of Leiden, Netherlands, has...

Wärtsilä extends predictive maintenance solution to support 2-stroke engines
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Wärtsilä extends predictive maintenance solution to support 2-stroke engines

Wärtsilä’s digital predictive maintenance product, Expert Insight, has been extended to support 2-stroke engines. Expert Insight uses artificial intelligence (AI) techniques and rule-based advanced diagnostics to identify potential issues in asset operating data. Wärtsilä’s experts are then able to provide actionable advice proactively to the customer. This facilitates a predictive maintenance strategy, whereby the health...

Kongsberg Maritime adds equipment monitoring facility to Vessel Insight
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Kongsberg Maritime adds equipment monitoring facility to Vessel Insight

Kongsberg Maritime has introduced a new facility to its Vessel Insight portfolio to help shipowners monitor onboard equipment via one unified interface and predict failures through early detection of abnormal behaviour. This Health Management dashboard helps customers to mitigate the capital and operational risks associated with the failure or unplanned maintenance of critical machinery. By...

Self-learning solution helps boost engine performance & optimise maintenance
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Self-learning solution helps boost engine performance & optimise maintenance

A new artificially intelligent shaft condition monitoring system by Datum Electronics is helping shipowners and operators to enhance fuel efficiency and optimise maintenance by providing precise real-time analysis of each individual cylinder of an engine from the dynamic torque signature. In this week’s spotlight, we find out more. The new solution is known as Datum...

Wärtsilä optimises engine maintenance with data-driven planning solution
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Wärtsilä optimises engine maintenance with data-driven planning solution

Wärtsilä has launched its Data-Driven Dynamic Maintenance Planning (Data-Driven DMP) solution to boost the company’s existing Dynamic Maintenance Planning solution by utilising digitalisation and analytics. According to Wärtsilä, the solution is an integral part of the company’s Life-cycle Solutions value proposition, and adds further customer benefits and value not possible with conventional DMP solutions. Data-Driven DMP...

Datum Electronics launches AI-enabled condition monitoring tech
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Datum Electronics launches AI-enabled condition monitoring tech

Datum Electronics has announced a new AI-based advanced condition monitoring technology for fuel efficiency and preventative maintenance. The new AI-enabled condition monitoring technology is the result of years of collaboration with Innovate UK & the University of Strathclyde on gathering data, running algorithms and profiling diesel generators, as well as many months of design, development...

KNL Networks and FLICQ collaborate on predictive analytics for vessel machinery
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KNL Networks and FLICQ collaborate on predictive analytics for vessel machinery

KNL Networks and FLICQ have announced a partnership to help maritime customers digitalise their operations to reduce costs, and ensure their fleets are in optimal condition. While digitalisation is growing in the shipping industry, a combination of legacy systems, complex installations, lack of standardisation and affordable connectivity means the maritime sector has been slower in...

Five ways shipping is leveraging AI for performance management
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Five ways shipping is leveraging AI for performance management

AI-assisted technologies are changing the way shipping operates, helping to shed light on vessel performance, while cutting costs and reducing risk to human lives. Shipping companies such as CMA-CGM, Maersk, and Stena Line have deployed AI-assisted technologies to gain greater insight into their ships’ performance, while both established companies and start-ups are finding new ways...

Wärtsilä enhances predictive maintenance with Expert Insight launch
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Wärtsilä enhances predictive maintenance with Expert Insight launch

Wärtsilä has launched its Expert Insight predictive maintenance product. This is a digital tool that enables customer support to be delivered by Wärtsilä Expertise Centres to ensure long-term accurate insight for their predictive maintenance strategies. Wärtsilä Expert Insight is a solution that leverages artificial intelligence (AI) and advanced diagnostics to monitor equipment and systems in...

WinGD and ETH Zurich develop algorithm for engine predictive maintenance
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WinGD and ETH Zurich develop algorithm for engine predictive maintenance

  Technical university ETH Zürich and WinGD (Winterthur Gas & Diesel) have developed an algorithm based on a physical and data driven engine model to enhance predictive maintenance for marine two-stroke engines. The solution, which deploys a new hybrid approach to modelling engine behaviour, will be further tested and validated to be applied in future...

Color Line improves cost and compliance with proactive maintenance
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Color Line improves cost and compliance with proactive maintenance

Using forward planning for the replacement of critical navigation components means shipowner can best manage operating expenses.  Sperry Marine, a subsidiary of Northrop Grumman, is undertaking a refit and maintenance programme of the navigation systems of two cruise ferries for Norwegian operator Color Line. The largest cruise ferries currently operating, Color Fantasy and Color Magic...

LR and Tufton Oceanic pilot maintenance optimisation project
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LR and Tufton Oceanic pilot maintenance optimisation project

Tufton Oceanic’s asset management company Oceanic Marine Management (OMM) and Lloyd’s Register (LR) have announced a partnership to optimise maintenance strategies on board two OMM vessels. The project will start by using LR’s Real Time Adaptive Maintenance Optimisation (RTAMO) software technology. RTAMO provides a reliability centered maintenance approach and a strategy for condition-based monitoring, reducing...