Tag: <span>Predictive Maintenance</span>

Wärtsilä optimises engine maintenance with data-driven planning solution
Post

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
Post

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
Post

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
Post

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
Post

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
Post

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
Post

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
Post

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...

ABS to pilot condition-based maintenance program for US Navy
Post

ABS to pilot condition-based maintenance program for US Navy

ABS and the US Navy’s Military Sealift Command (MSC) have entered a two-year project that will see the adoption of a bow-to-stern condition-based class asset management program by the US Navy’s MSC, increasing the Navy’s operational availability and flexibility. ABS will collect data from newly installed hull sensors and sensors on all classed machinery, onboard...

TrueProp Software announces JIP on propeller inspection
Post

TrueProp Software announces JIP on propeller inspection

TrueProp Software, a company that developed software for marine propeller inspection, has announced the launch of the new Improved Propeller Inspection and Metrology Joint Industry Project (JIP). The six-member JIP will address the development of methods and software code for improvements in propeller inspection, geometric modeling, and compliance standards. The purpose of the project is...

NYK develops tool to diagnose abnormal engine sounds
Post

NYK develops tool to diagnose abnormal engine sounds

NYK and Monohakobi Technology Institute (MTI) have jointly developed a diagnostic tool that analyses the operational sounds of a vessel’s engine plant to gain greater insight into machinery status and prevent machinery failure. Named as Kirari MUSE, the tool consists of equipment for recording and visualising sounds around the vessel’s engine plant, and software to...

GE to build digital twin for US Navy
Post

GE to build digital twin for US Navy

General Electric’s (GE) software and service solutions suite, Predix Asset Performance Management (APM), has been chosen by the US Navy’s Military Sealift Command (MSC) for installation to two of its vessels to optimise performance. The software will be fitted to two replenishment dry cargo ammunition vessels, the William McClean (T-AKE 12) and Medgar Evers (T-AKE...