# enervisual > enervisual (delivering real data) — enervisual develops battery-powered wireless sensors and a web platform for condition monitoring and structural health monitoring (SHM) of wind turbines and industrial machinery. A Danish company; sensors designed and manufactured in the EU. Battery-powered wireless sensors deliver analyst-grade vibration data (sampling up to 16 kHz, 20-bit, 20–27 µg/√Hz noise floor, raw time waveforms, order-based spectra) with up to 10 years of battery life, over LoRaWAN, to a web platform with pre-configured spectral libraries per wind turbine type, AI-supported diagnostics and an open two-way API. ## Key facts - **What is enervisual?** enervisual is a Danish technology company that develops battery-powered wireless sensors and a web platform for condition monitoring and structural health monitoring (SHM) of wind turbines and industrial machinery. The enerVib wireless vibration sensor captures analyst-grade data, including raw time waveforms and order-based spectra, and the platform turns it into component-level diagnoses. - **Where are enervisual sensors designed and manufactured?** In the European Union. enervisual is a Danish company, and our sensors are designed and manufactured in the EU. - **How long does the sensor battery last?** Up to 10 years. The sensors do not stream continuously. They measure when the machine is in a defined operating condition, which keeps data comparable and saves energy. - **What data quality do the wireless vibration sensors deliver?** Sampling up to 16 kHz, 20-bit resolution and an ultralow noise floor of 20–27 µg/√Hz. Each measurement includes the raw time waveform (TWF), plus conventional and order-normalised spectra. That is the data a vibration analyst needs to see early bearing and gear faults. - **Do I have to configure the system for my wind turbine?** No. enervisual maintains pre-configured spectral libraries for specific wind turbine types, covering gear mesh frequencies, bearing defect frequencies, shaft orders and alarm bands. You install the sensor, select the turbine type, and monitoring starts. - **Can enervisual work alongside our existing condition monitoring system (CMS)?** Yes. Many customers use enervisual as an add-on for components or problems their existing CMS does not cover, such as foundations, blade root inserts or extra drivetrain points. The open API works in both directions, so data can flow into your SCADA, CMMS or historian, and existing hardware can feed the platform. - **Where can enervisual be deployed?** Worldwide. The sensors use LoRaWAN, a long-range wireless standard available around the world, and the platform runs in any web browser. Systems can be deployed on wind farms and industrial sites in any country. Tell us where your assets are and we will set up the sensors for your country's radio frequency plan. - **How is the system installed?** Sensors mount by stud or magnet in minutes. No cabling, mains power or turbine downtime is needed. Foundation and structural packages install in hours, not weeks. - **Contact:** info@enervisual.com - **LinkedIn:** https://www.linkedin.com/company/enervisual/ - **Company:** Danish technology company, deploying worldwide. Sensors designed and manufactured in the EU. - **Languages:** English (https://enervisual.com/) ## Solutions - [Drivetrain & gearbox monitoring](https://enervisual.com/blog/your-turbine-type-our-spectral-data-ready-to-go/): Pre-configured spectral libraries for specific wind turbine types: gear mesh, bearing defect frequencies and shaft orders, all validated in advance. Order-based analysis keeps fault trends comparable at any speed. - [SHM-Foundation Package](https://enervisual.com/blog/the-shm-foundation-package-delivering-the-data-your-foundation-needs/): Continuous tilt, strain and vibration data from the foundation, from battery-wireless nodes that go onto existing structures without cabling or turbine downtime. Use it for lifetime extension, repowering decisions and new-build validation. - [Blade Root Insert Gap](https://enervisual.com/blog/wind-turbine-blade-root-insert-gap/): Direct measurement of the gap between blade root and blade bearing, across every turbine on your sites. It replaces a full day of stop, lock and inspect work in the hub, and catches the defect before it turns critical. - [Structural health monitoring](https://enervisual.com/blog/wind-turbine-structural-health-monitoring/): SHM sensors for blades, tower and foundation: vibration, inclination, strain, proximity, humidity and temperature. Engineering-grade inputs for stiffness and condition assessment, with low CapEx. - [Industrial rotating equipment](https://enervisual.com/blog/battery-wireless-vibration-monitoring-full-analyst-grade-data-no-cables/): The same nodes cover gear motors, pumps, fans and agitators in production lines, food and process plants. They suit washdown zones and flexible layouts, where pulling cable is as impractical as it is in a nacelle. - [Environmental sensors](https://enervisual.com/blog/environmental-sensors/): Temperature, humidity, CO₂, particles, sound and leak detection, inside and around your assets or in buildings. High-quality data for operations, research and AI development, through the same open API. ## Technology - **Raw time waveforms:** You get the actual signal, not just processed indicators. When the platform flags a bearing fault, your analyst (or ours) can open the TWF and confirm it. Nothing is hidden inside a proprietary index. - **Order-based analysis:** Turbines follow the wind and drives follow production. Normalising to shaft rotation keeps every gear mesh and bearing signature in a fixed place, so trends stay comparable at every speed. - **Pre-configured from day one:** A growing library of spectral configurations per turbine type. You don't need to find tooth counts or bearing designations, and you can't watch the wrong frequency for months by mistake. - **AI-supported diagnostics:** The platform tells you which bearing, which stage, how severe and since when. A plain "vibration increased" alert doesn't. Pre-configured component knowledge makes the AI sharper. - **Smart measurement scheduling:** Measurements are triggered by operating conditions, so the machine is captured in a defined, comparable state instead of at random moments. This is also why a battery can last up to a decade. - **Your data stays yours:** The API works in both directions. It feeds your maintenance systems, historians and dashboards, and it can take in data from monitoring hardware you already own. There is no lock-in either way. ## Industries - **Wind energy:** Onshore and offshore operators, service providers and consultants. Use it as an add-on alongside your existing CMS, or as a complete monitoring package for drivetrain, blades, tower and foundation. - **Food & process industry:** Production lines, drives, pumps and rotating equipment, including hygiene zones and washdown areas where wired systems are impractical. - **Research & development:** Universities and R&D teams use enervisual sensors and the open data API to collect high-quality measurement data for research and AI. - **Reference:** Since 2022 the University of Southern Denmark (SDU) has used enervisual sensors and our data API in its HYG research project. Before choosing us, SDU tested the sensors in a climate chamber at the Danish Technological Institute, where they performed significantly better than competing sensors. ## Articles - [Battery-Wireless Vibration Monitoring: Full Analyst-Grade Data, No Cables](https://enervisual.com/blog/battery-wireless-vibration-monitoring-full-analyst-grade-data-no-cables/): The enervisual sensor range — order-based spectra, raw time waveforms, and a 10-year battery life in one wireless package. For decades, vibration monitoring has forced a… - [The SHM-Foundation Package: Delivering the Data Your Foundation Needs](https://enervisual.com/blog/the-shm-foundation-package-delivering-the-data-your-foundation-needs/): From measurement challenge to monitoring solution — how enervisual makes foundation data practical. In our previous post, we examined why wind turbine foundations are fun… - [Your Turbine Type. Our Spectral Data. Ready to Go.](https://enervisual.com/blog/your-turbine-type-our-spectral-data-ready-to-go/): Why enervisual delivers actionable vibration monitoring from day one. You have decided to install vibration monitoring on your wind turbine gearbox. Good decision. You pu… - [Wind Turbine Foundations: What Makes Them Different?](https://enervisual.com/blog/wind-turbine-foundations-what-makes-them-different/): Wind turbine foundations face unique engineering challenges that set them apart from conventional rotating equipment. Understanding these differences is essential—both fo… - [Wind Turbine Foundation Assessment](https://enervisual.com/blog/wind-turbine-foundation-assessment/): Wind Turbine Foundation Assessment with SHM-Foundation Package from enervisual. How to assess the condition of a wind turbine foundation? We need real data! And we have t… - [Belgian Offshore Days 2025](https://enervisual.com/blog/belgian-offshore-days-2025/): Visit us at the Belgian Offshore Days. Click the banner 🙂 See you! - [Wind Turbine Blade Root Insert Gap](https://enervisual.com/blog/wind-turbine-blade-root-insert-gap/): The package for detection of Blade Root Insert Gap from enervisual is a direct and accurate method. Sensors designed to measure the gap between blade root and blade beari… - [Wind Turbine Structural Health Monitoring](https://enervisual.com/blog/wind-turbine-structural-health-monitoring/): Wind Turbine Structural Health Monitoring (SHM) by Wireless Battery Powered Sensors data. The Wireless Battery Powered SHM Sensors from enervisual are used for monitoring… - [Monitoring for Wind Turbines Add-on](https://enervisual.com/blog/monitoring-for-wind-turbines-add-on/): Add-on solutions for monitoring of wind turbines supported by enervisual. Are you operator, service provider or consultant and have issues not covered by your existing co… - [Building Green](https://enervisual.com/blog/building-green/): På Building Green link messen i Forum København i denne uge så vi virkelig hvor øget fokus der er kommet på naturlige materialer og klima. I 2018 leverede Enervisual en s… - [enerVib AI](https://enervisual.com/blog/enervib-ai/): With the enerVib AI training model you choose what the model shall detect. The web interface let’s you point out the data, and the AI model will then detect similar data… - [Sensor Data for AI](https://enervisual.com/blog/sensor-data-for-ai/): Looking for sensors that feeds you with real quality data for the AI journey? Check out the blog on Environmental Sensor and see how easy it is to get data for AI and use… - [Wireless Vibration Sensor](https://enervisual.com/blog/wireless-vibration-sensor/): The Advanced Wireless Vibration Sensor – enerVib – from enervisual is leading on multiple parameters. Installing the enerVib on your machines is easy and smooth. Our open… - [Environmental Sensors](https://enervisual.com/blog/environmental-sensors/): All sensors from enervisual are high quality and feeds you with real quality data for development projects, industry installations, office working environment or AI journ… - [Stove heating made easy](https://enervisual.com/blog/stove-heating-made-easy/): A valued customer Viggo knows exactly when he move from his chair and to fill the stove with additional wood. With the enervisual stove heating app he follows the smoke… - [SDU are using enervisual sensor](https://enervisual.com/blog/sdu-are-using-enervisual-sensor/): Since 2022 the Southern Danish University SDU have used enervisual sensors and data API for research project HYG – link. - [enervisual CONNECT](https://enervisual.com/blog/enervisual-connect/): Connect er en løsning, der giver dig mulighed for at måle alt fra temperatur, fugt, lyd og vibration til gødningsniveau, CO2, partikler, vandlægkage og meget mere. Det be… - [Enervisual Wind Converter](https://enervisual.com/blog/enervisual-wind-converter/): En løsning til dig der har egen vindmølle eller solcelleanlæg og gerne vil være mere bæredygtig. Vil du bruge vedvarende energi til at dække dit energiforbrug, og har du… ## Optional - [Full text of all articles](https://enervisual.com/llms-full.txt) - [Sitemap](https://enervisual.com/sitemap.xml)