Autonomous, AI-based, engine health monitoring system

IConIC enables marine systems to be operated and maintained at optimum levels, reducing emissions and fuel consumption, and avoiding expensive downtime caused by unexpected engine faults.

Easily retrofittable and using non-invasive sensors, IConIC uses Artificial Intelligence to learn what a healthy system looks like in a specific environment and then accurately monitors its health in real time to predict future faults, long before any other form of health monitoring, giving operators the insight required to determine the best possible maintenance strategy.

IConIC engine room image

Key Features

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    Machine learning/signal processing algorithm for autonomous health monitoring

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    Remote User interface with health score reporting, trend analysis and user event logging

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    Embedded system performing all calculations on board the vessel instantly

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    Non-invasive vibration sensor magnetically attached to each cylinder head

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    Crank angle sensor for TDC/RPM measurement

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    Development in accordance with DNVGL-CG-0339


Global communications

Ship-to-shore link (VSAT, FBB, cellular)

Cloud portal

Cloud-based portal for remote access to engine health data across a fleet


Periodic Management Information System reporting/performance assessment

The IConIC advantage

IConIC chart of engine failre advantage

IConIC resolves the three key issues faced by traditional condition
monitoring systems

  • By using sophisticated signal processing and advanced machine learning, IConIC provides significantly earlier indication of impending fault
    conditions than any other detection method.
  • With high-frequency sampling on each cylinder, IConIC provides more granularity, allowing for deeper fault diagnosis and analysis.
  • Rather than using equipment manufacturers published information, IConIC develops its baseline health data from the actual engine it is monitoring, taking into account its age and local environment.

IConIC provides earlier indication of impending fault conditions or performance degradation than any other detection technique.

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    Simple to implement

    Non-invasive, easy to install sensors, with compact, powerful processing units installed on board, rather than relying on remote process

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    Identifies failures earlier than any other platform-based techniqu

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    Delivers performance insight in real time to both ship’s crew and shore-side operations

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    Measures system health

    Quantifies the system’s health in its particular environment, rather than just a fault alarm

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    Complements maintenance operations

    Delivers visual diagnostics to the crew via portable devices

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    Informs system-wide maintenance

    Combines intelligence from across platforms, enablingfleet-wide optimisation

IConIC block diagram

IConIC has been installed on a wide range of engines and vessel classes, and has detected various faults that have affected engine health.

Typical faults detected by IConIC include:

  • Fuel flow
  • Blocked air filters
  • Loose engine mounts
  • Worn piston rings
  • Big end bearing slack
  • Leaking valves
  • Injector faults
  • Maladjusted cam followers

Technical Data

Data Acquisition Unit


  • Dimensions: 500mm x 250mm x 125mm
  • Display: 92mm x 31.5mm x 2.5mm OLED
  • Housing: Aluminium
  • Ingress protection: IP65
  • Power: PoE+
  • Interface: Ethernet
  • Approvals tested DNVGL-CG0339


  • Two 8-channel ADCs supporting 16 simultaneous accelerometers
  • 2.4kHz sampling rate
  • Dedicated TDC channel (Hall Effect)
  • 32 thermocouple channels
  • Internal data storage provision (2x SD card slots)
  • Operating temperature range: 0 to 45° Celsius

Remote Server Unit


  • Dimensions: 500mm x 250mm x 125mm
  • Housing: Aluminium
  • Ingress protection: IP20
  • Power: 115-240V AC, PoE+ support for up to 2x DAUs
  • Approvals tested DNVGL-CG0339


  • IConIC application
  • Feature sampling/Health Score generation (per channel): 520 per second
  • GUI Health Score updates: once per minute
  • Storage: 1TB M.2 SSD
  • Interfaces: Ethernet [optional 802.11a/c + Bluetooth 4.0]
  • Operating temperature range: 0 to 45° Celsius

User Interface

  • GUI compatible with Chrome/Firefox browsers, either via local RSU database or remote cloud-based portal
  • Individual ship/engine selection
  • Health score radar/history plots
  • Minutes/hours/days trending
  • Online maintenance logging
  • Basic/Intermediate/Expert modes
  • Auto-refresh mode
  • Mobile interface with alerts


  • Retro-fit installation on existing/new vessels, in accordance with BS 7671:2018
  • Fitting for propulsion systems, engines, generators and auxiliary machines

Contact us to find out more