Vestas Recruitment 2020 | Condition Monitoring Engineer | BE/ B.Tech/ ME/ M.Tech – Electrical and Mechanical Engineering | Chennai
Company: Vestas Wind Technology India Pvt Ltd
Since Vestas was founded in 1979, Vestas has achieved a market-leading position with more than 60 GW of installed wind turbines or around 19% of total global capacity. Every day, everyone at Vestas works to make Vestas the undisputed global wind leader and the world’s energy mix more sustainable – join us, and be part of ensuring a sustainable future for our planet.
By joining Vestas, you join the only global energy company dedicated 100% to wind energy. Together with our customers, we have installed more than 51.000 turbines in over 70 countries, and we remain committed to increase that number via our superior, cost-effective wind technologies, products and services.
Company Website: www.vestas.com
Positions: Condition Monitoring Engineer
Experience: 3+ Years
Salary: Best In Industry
Job Location: Chennai
Education: BE/ B.Tech/ ME/ M.Tech – Electrical and Mechanical Engineering
Jobs Description: Condition Monitoring team is part of Service Operations in Service, mainly focusing on monitoring activities such as analysis on vibration data and standard signals to measure performance and determine condition of the wind turbines and components, combining and developing methods to detect and highlight potential failures and damages before they happen, playing a key role to optimize service operations.
Responsibilities:
- Primary duties will be monitoring and diagnosing the health condition of wind turbine gearboxes, main bearings and generators to highlight potential failures and/or damages before they happen
- Technical reporting of potential reliability conditions
- Constant interaction with service operations performing a follow up on the alerts detected by the system and the technical actions applied on field
- Improvement of alert definitions and monitoring templates based on feedback from field
- Knowledge sharing to spread technical solutions
- Support to service operations on interpreting the predictive models to optimize maintenance
- Participate in Continuous Improvement Programs
Last date to apply: ASAP before the link expires
Apply Link: Link Expired
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