MACSEA and its development partner, PacMar Technologies, recently completed an ONR-funded research project to develop technology for monitoring battery rooms on all-electric ships and issuing early warning alarms at the slightest increase in battery temperatures. The system uses both images and temperature data supplied by thermal cameras, along with AI-based algorithms, to automatically detect evolving […]
News & Events
Company news, software updates, new developments, and the latest in ship health monitoring
Reducing Risk of Battery Fires on Ships
Saturday, May 18th, 2024Controlling Ship Hull Fouling Helps Save Fuel
Thursday, June 6th, 2013According to some industry estimates, hull and propeller performance degradation can cause fuel penalties in the range of 15 to 20 per cent, with a corresponding increase in GHG emissions. Diligent hull condition monitoring and maintenance can negate these penalties and represents an effective, low-cost energy saving measure available to ship owners for immediate implementation.
DEXTER Diesel Expert™ Module Helps Keep Engines Fuel Efficient
Friday, March 22nd, 2013MACSEA successfully tested its Diesel Expert combustion analysis intelligence software aboard the USS Fort McHenry (LSD-43) during recent testing in Norfolk, Virginia. The Diesel Expert software accepts data inputs from cylinder combustion analyzers and automatically diagnoses any existing engine faults. Diesel Expert contains expert-level diagnostic intelligence in the form of an embedded neural network that […]
Ship Hull Condition Monitoring Fouling Detection White Paper Available
Wednesday, November 14th, 2012A new white paper is available describing a business case study for our Hull Medic hull condition monitoring service. The business case is based on a customer’s pilot study to evaluate the anti-fouling effectiveness of alternative hull coatings.
High-Accuracy Fuel Monitoring with Fuel Vision
Monday, October 1st, 2012MACSEA’s Fuel Vision system now works with Emerson’s Micro Motion Coriolis® flow meters for high-accuracy fuel monitoring to help ship operators quantify the real effects of various energy conservation measures.
Teaching Computers to Think Like Engineers
Monday, July 30th, 2012The marine industry is increasingly adopting Condition-Based Maintenance (CBM) as cost-effective strategy for Reduced Total Ownership Cost, fostering the approach of performing maintenance only when objective evidence of need exists. However, because of the special skills and time required to implement CBM, particularly as ship systems become more complex, future ship systems should employ artificial […]
Sensors – The Eyes and Ears of Ship Automation – Part 2
Wednesday, June 13th, 2012Sensors are the eyes and ears of your automation. Their health is essential to all shipboard monitoring and control functions that require reliable data to synthesize decisions. In Part 2 of this series, we present some advanced research involving two multivariate machine learning algorithms; nonlinear state estimation and support vector machines, both applicable to shipboard […]
Sensors – The Eyes and Ears of Ship Automation – Part 1
Monday, May 14th, 2012Sensors are the eyes and ears of your automation. Their health (i.e. accuracy and reliability) is essential to all shipboard monitoring and control functions that require reliable data to synthesize decisions, which pretty much includes everything. What is surprising is that, even with this critical role in machinery control, sensor health has received scant attention […]
Reducing the Risk of Diesel Engine Crankcase Explosions
Monday, April 30th, 2012In a time when modern automation systems are supposed to prevent crankcase explosions and the ensuing engine room fires, these types of incidents are far from a rarity. In fact, several recent incidents, particularly in the cruise industry, have left ships without power for days and have resulted in financial losses totaling in the millions […]
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