Our purpose is to improve efficiency and increase profitability, adding value over the long-term, saving significant costs and increasing wind turbine operating life.
PURPOSE
PUSHING THE LIMITS OF WIND ENERGY EFFICIENCY
Our purpose is to improve efficiency and increase profitability, adding value over the long-term, saving significant costs and increasing wind turbine operating life.
INESCO INGENIEROS is an engineering company based in Santander (Spain). Inesco offers high-quality engineering services in the field of material and mechanical engineering, structural integrity, NDT solutions and condition monitoring.
TWI is one of Europe’s largest independent research and technology organisations. Based in Cambridged, TWI provides industry with technical support in materials, composites, welding, structural integrity, failure investigation, inspection and NDT.
Innora Ltd is a privately owned profit R&D SME. They deliver high-added value advanced technology intellectual property. Services include system design, complete integration and customization support, as well as collaboration project development.
The overall mission of Brunel University and in particular of the Brunel Innovation Centre (UBRUN) is to establish a world class research centre focusing on acoustic waves and allied technologies covering sensors, electronics and software systems
Relex Italia Srl is a PTC partner specialized in Reliability Engineering and provides PTC WQS software, RAMS and risk management consulting services for different sectors including aerospace, telecommunications, automotive, transportation and Oil&Gas.
Compact, reliable and non-intrusive, ACMWind is the first condition monitoring system (CMS) to be launched on the market using an acoustic pressure sensor to detect faults in drivetrain components at an early stage, improving the efficiency of your assets.
The acoustic pressure sensor is capable of detecting the sound-borne emissions from the different components of the drivetrain including main bearing, gearbox and generator. Vibrations from all the rotating components within the nacelle are monitored through the airborne noise. The signal processing algorithm can differentiate the origin of the sound, and thus prescribe the defect to the faulty piece of machinery (gearbox, bearings and so on). The software automatically recognises the structural health signature of each monitored component from analysis of the frequency and time dependence of the acoustic responses. The complete system therefore provides continuous, non‐intrusive, health monitoring of the wind turbine drivetrain. The distinct, quantitative history of the structural integrity of the machine components will allow operators to estimate the time left until failure.
