The components that carry the business case are the ones nobody measures.
A blade, a mooring line and an export cable each decide whether a wind farm earns what it was financed to earn. All three are inspected. Very little of what matters about them is actually measured.
Inspection tells you what it looks like. It does not tell you how it behaves.
A visual survey is a photograph of a surface at one moment. It is good at what it does, and your acceptance process is built on it. But it cannot tell you whether a structure is stiffer or softer than it was last month, it cannot be present during a lift, and it cannot compare one blade with its own siblings on the same turbine.
Access is the cost, not the sensor
Offshore, getting a person to the asset dominates every budget line. Anything that answers a question without a vessel movement changes the economics of the whole decision.
The data is thin where it matters
Failures on high-value components are rare, which is exactly why machine learning alone struggles. There are never enough examples of the event you are trying to catch.
The environment fights the measurement
Lightning is a design case inside a blade. Salt, motion and intermittent connectivity are the norm. Electrical sensing has a hard time in places where optical sensing simply does not care.
Four solutions across the asset
Two on the blade, one on what holds a floating platform in place, one on what carries the power ashore. Each stands alone, and each runs on the same platform underneath.
Blade Monitoring
Optical strain and acceleration sensing inside the blade, feeding modal analysis that detects change long before it is visible on an inspection image. The output is how far a blade has moved from its own history and from its peers.
Blade Monitoring ›BladeTrace
A repair is the one moment a blade is guaranteed to be touched, and the one moment nobody measures it. Structural signature before, physical record of the handling during, structural signature again after.
BladeTrace ›MOOR-LIFE
Sparse accelerometers on floating wind mooring lines, ambient excitation, and a structural model that turns measured motion into the loads the line has actually carried, and from there into remaining useful life.
MOOR-LIFE ›ZeeCAIbel
Cables move, bury and unbury. Knowing where one actually is matters before an anchor goes down or a crossing is planned. Electromagnetic physics and AI, applied to finding something nobody can see.
ZeeCAIbel ›FleetSense, running in production since 2023
All four solutions sit on the same sensing and data platform. It ingests sparse sensor data from large, dynamically excited structures, extracts modal parameters, fatigue indicators and change signatures on the device itself, and delivers clean outputs instead of raw waveforms. Buffering and store-and-forward run in firmware, so an intermittent cellular link costs data delivery almost nothing.
The measurement chain has to survive the place it is measuring
What optical sensing gives us
- Fibre Bragg grating sensors turn strain, temperature and acceleration into a shift in the wavelength of light. There is no electrical signal at the sensor.
- No metallic loop and no induced voltage, so electromagnetic interference does not apply as a failure mode. Inside a blade, where lightning is a design case, that is the whole argument.
- One fibre carries many sensing points, which keeps the cabling inside a fifty to hundred metre structure manageable.
- Long service life outdoors, which is why outdoor monitoring generally is moving from electrical to optical.
What we are not claiming
- We are not claiming better damage detection than a well-designed conventional system. We are claiming a sensing path that survives the electrical environment.
- Our methods are sensor-agnostic. Fibre Bragg grating, MEMS, piezo or vibrating-wire data all work, and where you already have instrumentation we use it.
- We do not classify damage from the measurement. We can see that behaviour has changed relative to history and peers, and by how much.
- Progressive damage gives warning. A sudden overload failure does not, and we say so rather than imply otherwise.
What better information is worth in floating wind
These are modelled figures for floating offshore wind, per gigawatt of installed capacity, based on our own analysis of the yield and maintenance effects of earlier and better-founded decisions. They are a scale, not a quotation, and they apply to this sector rather than to the company as a whole.
Modelled by Tarucca for floating offshore wind. Your own figures depend on turbine class, water depth, site access and the maintenance strategy already in place, and we would rather work them through with you than have you take ours.
Who we work with in wind
Which of these is the question on your desk?
Whether it is a blade repair coming up, a mooring inspection interval you cannot defend, or a cable whose position nobody is certain of, the first step is the same: a conversation with one of the founders about what you already have and what it would take to measure it.
