Job Role : Structural Audio Specialist
Exp : 6 -12 Years
Location : Chennai
Job description :
- Diagnostics & Prognostics team at Nordex is a dynamic team working on challenging and high-value projects. Seated in the global Service department, we use state-of-the-art methods and tools to execute data driven maintenance of our global wind turbine fleet.
- Have relevant qualifications / experience with structural audio analysis.
- Are an open-minded team player with great communication skills and looking to take responsibility of high-profile projects.
- Are interested in renewable energy and in contributing positively to the climate.
Responsibilities and tasks :
Ownership of structural audio analysis concept.Evaluation of structural audio analysis model results and event-based reporting to local service organisation with actionable recommendations.Improving existing models and algorithms and exploring new use cases to further expand the scope.Following up and updating reported failures according to severity of the failure and supporting local service organisation for taking decisions of data driven maintenance.Skills and qualifications :
Ideally you should have a degree in mechanical and AI engineering or equivalent. Furthermore, we expect you to :Have at least seven years of experience of structural audio analysis of windturbines.Possess strong knowledge of mechanical structures and bolt connections.Have worked previously with AI models and machine learning.Have field experience of investigating and troubleshooting wind turbine mechanical structures.Feel comfortable working in an English speaking environment (strong written and verbal skills in English needed).Have knowledge with operational aspects and procedures concerning diagnostics and analyses.Have capabilities of signal processing and acoustics.Are familiar with data acquisition hardware and network communications.Have previously worked with SQL database and Linux systems.Are experienced finding synergizes with windturbine monitoring technics.Skills Required
network communications, Signal Processing, Machine Learning, Acoustics, Sql Database