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Research Engineer - Diagnostic and Prognostic Systems Job

This job is no longer available

Employer
General Electric
Posted
Tuesday, November 20, 2012
Closes
Friday, December 07, 2012
Location
Bangalore, India
Organization Type
Corporate
Contract Type
Employee

Further information

Essential Responsibilities:
A successful candidate will

  • Execute research work independently collaborate with cross-functional global teams.
  • Able to understand power plant operation data to perform root cause analysis of faults.
  • Develop performance degradation models for power generation equipment.
  • Develop and apply statistical techniques, thermodynamic cycle analysis, signal processing algorithms, vibration analysis techniques for health monitoring of power plant equipment.
  • Define, create, implement and validate next generation monitoring systems and prognostic solutions for increased efficiency, availability and performance of the equipment.
  • Qualifications/Requirements:

  • Masters in Mechanical/Electrical/Electronics/Instrumentation with 5 years of experience in power plant operation and maintenance.
  • Demonstrate passion for new technology and research
  • Demonstrate strong technical skills in one or more areas
  • Thermodynamic cycle analysis
  • Vibration analysis
  • Performance analysis of power plants
  • Multivariate Statistical analysis
  • Demonstrate strong project management skills, analytical skills, innovative thinking and communications skills
  • Additional Eligibility Qualifications:

    Desired Characteristics:

  • Knowledge of fault modeling and simulation for industrial applications
  • Knowledge of remaining useful life estimation methods
  • Knowledge of power plants, O&G industry, wind turbine plants, substations, cooling systems, steel/paper and other industries will be an added advantage
  • Hands on experience with one or more tools such as - Matlab, Ansys, Gate Cycle, System-I, Reliasoft, SAS, R and other engineering tools to develop diagnostic and prognostic models
  • Ability to work effectively in a multi-disciplinary team environment
  • Self-motivated and possesses high energy
  • General Electric

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