Job Responsibilites:
1. Explore and extract fault characteristics of major component failures and unit safety risks based on physical mechanisms; establish physical or machine learning models, and deliver wind turbine fault diagnosis and control optimization solutions. Deploy algorithm models to improve industrial problem-solving efficiency and reduce failure rates;
2. Conduct big-data operation and result analysis of data-driven models, and complete model migration and deployment on various platforms;
3. Compile and verify technical documents including algorithm requirement analysis, technical schemes, test reports and case analysis files.
Qualifications:
1. Proficient in relevant software about data analysis programming languages;
2. Solid theoretical foundation in the professional field. Familiar with the design, data analysis and optimization methods of wind turbines or other industrial equipment. Candidates with experience in diagnosing and solving quality problems of industrial equipment are preferred;
3. Possess strong ability in demand analysis, communication skills and team spirit;
4. Hard-working and highly execution-oriented;
5. Excellent English listening, speaking, reading and writing skills, capable of reading English technical documents and conducting technical exchanges with foreign counterparts.
