Company Profile:

Vestas is the world leader in wind technology and a motivation in the development of the wind power industry. Vestas’ core business comprises the development, manufacture, sale, marketing and maintenance of Wind Turbines. Come and join us at Vestas!

Job description:

Global Predictive Monitoring team is part of Global Service Operations, Quality & HSE 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

 

Qualifications

M.E/M.Tech/B.E./B.Tech. - Mechanical/ Electrical Engineer

Level II Vibration Certification as defined by ISO 18436-2

4+ years of experience in industry with Vibration Analysis, Condition Monitoring

Experience on SKF or BKV or TCM vibration analyzer technologies can be an added advantage

Good Understanding about working knowledge of Vibration Analysis Software, Vibration Data Acquisition systems, Vibration sensors and various Condition Monitoring techniques

Good understanding on gearbox, generator and bearing failure modes and problem solving

Expertise on Root Cause Failure Analysis, Basic Fault Diagnosis and Condition Evaluation

Experienced on the commercial side, and decidedly "hands-on" and not just theoretical

Bring not just an analytics-orientation, but the ability to use analytics to drive key success metrics related to yield management and revenue generation

 

Competencies

Fluency in English and have good communication, presentation skills

Pro-active, structured, self-motivated, communicative, reliable, credible, open minded, ambitious

Should be willing to travel abroad

Six Sigma - DMAIC/DFSS, good understanding about application of various statistical tools in data analysis and problem solving is good to have

Exposure to Condition Monitoring of Wind Turbines will be an advantage

Knowledge on SQL, Matlab and R is a plus

Exposure with IOT software platform can be an added advantage