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Marine Fleet Management Software for Marine Condition Monitoring

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Marine condition monitoring is an approach that uses data collected from sensors and other sources to detect early signs of abnormalities and reduce risks such as unexpected failures, over-inspection, and insufficient inspection.

This webpage explains the benefits of implementing a marine condition monitoring system, how to choose one, and examples of utilizing it, in an FAQ format.

Selecting Marine Fleet Management Software for Condition Monitoring: FAQ Guide

About Marine Condition Monitoring

It is a mechanism for detecting early signs of abnormalities from data. It continuously tracks equipment condition using sensors and other means, and assesses asset health with greater confidence without relying only on time-based periodic inspections. By understanding trends in measurement data and reflecting them in maintenance planning, it provides an information foundation for preventing unexpected failures.

Benefits of Marine Condition Monitoring

To reduce "fix-after-failure" responses and lower operational uncertainty. Data-driven maintenance helps optimize inspection intervals and reduce the risk of operational interruptions.

Under a classification-society-approved CBM (Condition-Based Maintenance) scheme, the scope and frequency of open inspections may be reviewed (including possible extensions), depending on the equipment covered and its operational track record.

Challenges Solved by Marine Condition Monitoring

It can help solve challenges such as maintenance work that depend on individuals and unexpected operational stoppages. By detecting early signs of abnormalities, planned responses become possible, and over- or under-inspection can be prioritized through trend management. With centralized management of data, decisions can be made faster, and trend information becomes an objective basis for inspections and maintenance planning.

Choosing a Marine Condition Monitoring System

More than the number of measurement features, a key criterion is whether it can run smoothly in day-to-day operations. Confirm whether the monitoring targets and data types match the company's failure patterns. In addition to analytical accuracy, including measures against false alarms, it is also important to check PMS integration, alignment with class requirements, and how connectivity and data access rights are handled.

For organizations managing many vessels, ease of standardization and centralized management is a key factor in system selection.

Use Cases for Marine Condition Monitoring

A typical example is using trend monitoring for main engines and rotating machinery to detect early signs of abnormalities, then linking the findings to planned maintenance at the next port call or during docking. By visualizing the condition of multiple vessels across the fleet from shore, technical teams can focus on priority vessels when making maintenance decisions, which also helps address labor shortages.

Marine Condition Monitoring:
Software Examples

The webpage editorial team investigated case studies of marine fleet management software that supports marine condition monitoring. Please review how each solution is used in practice and the results achieved after implementation to help guide system selection.

Case Study:
Danelec's Marine Fleet Management Software

Continuous Visibility Into Marine Condition Became Possible
Through Remote Management.

When replacing aging VDRs, Uni-Tankers introduced Danelec's marine fleet management software.

By establishing a setup to manage and review VDR data remotely, the company was able to continuously track the recording status of voyage data and equipment operating conditions, enabling initiatives that help prevent failures and reduce the risk of unexpected operational stoppages.

3 Recommended
Marine Fleet Management Software
For Frequent Hazardous
or Long-Distance
Voyages

For Marine Fleet
Management Companies
MaSSA-One
MaSSA-One
* Image source: BEMAC Official Website
(https://www.massa-one.com/english/)
Core Capabilities
Condition monitoring and anomaly detection
  • Enables early detection of anomalies using data-driven automatic thresholds and expert-defined multi-condition detection.
  • In the event of a failure, real-time data helps speed up root-cause identification, reducing downtime.
  • This supports the prevention of future accidents and issues, contributing to reduced damage and losses involving vessels and cargo.
For Companies with
Frequent Business
in the EU

For Marine Shipping
Companies
DeepSea
DeepSea
* Image source: DeepSea Official Website
(https://www.deepsea.ai/)
Core Capabilities
AI Fuel, CII &
Route Optimization
  • With the CII tracking feature, AI helps maintain and predict vessel performance.
  • AI dynamically evaluates speeds and routes to suggest more fuel-efficient alternatives
  • While complying with Europe-specific restrictions and regulations, it supports operations aimed at lower fuel consumption.
For Fleets with a Mix
of Older and Newly
Built Vessels

For Independent Ship
Management Companies
Smart Ship Hub
Smart Ship Hub
* Image source: Smart Ship Hub Official Website
(https://smartshiphub.com/)
Core Capabilities
Data integration across a mixed fleet
  • Supports aggregation of vessel data across different manufacturers and standards, as well as data from multiple vessels.
  • Visualizes information distributed across onboard systems and supports building an environment for centralized management.
  • Supports information sharing between shore teams and fleets with older vessels, older equipment, newly built vessels and new equipment.