System Engineering Research Laboratory

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Mathematical Informatics

SERL is developing technologies for solving various problems mathematically using information technologies. Specific examples include developing image processing and machine learning technologies that facilitate the maintenance and inspection of power system infrastructure and techniques for optimizing large complex systems.

Fundamental Technologies

  • Pattern recognition technologies
  • Image recognition and processing technologies
  • Optimization techniques based on the mathematic modeling of complex systems
  • Information security evaluation techniques
  • Information system evaluation techniques

Major Researches

Abnormal condition sign identification techniques

SERL is developing interactive techniques for identifying an abnormal condition sign from measurable data before they manifest as an abnormal condition, particularly based on data such as sensor outputs during normal operation from a highly reliable facility or machine that rarely fails.

Abnormal condition sign identification techniques

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Optimization techniques to assist power system operation and restoration planning

As fundamental technologies for solving various power system problems, SERL is developing optimization techniques for planning energy system deployment and operation, and planning the power system restoration after equipment failure or disaster. Optimization techniques with guaranteed accuracy of solutions are also being developed.

Optimization techniques to assist power system operation and restoration planning

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Risk management technique for human-related IT risk

SERL is developing IT risk management technique aiming at a further decrease of the IT risk of the electric power industries that are important infrastructure of the society. Techniques that can maintain risk level lower without decreasing usability of IT system, and so on are being developed.

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