SOM based methods in early fault detection of nuclear industry

نویسندگان

  • Miki Sirola
  • Jaakko Talonen
  • Golan Lampi
چکیده

Early fault detection in nuclear industry is studied. Tools have been developed for control room operators and experts in an industrial project. SelfOrganizing Map (SOM) method has been used in combination with other methods. Decision support visualizations are introduced. The usability of methods have been tested and verified by constructing prototype systems. The use of SOM method in dynamic systems is discussed. Applications for industrial domain are presented. Data sets from a Finnish nuclear power plant have been analyzed. Promising results in failure management are achieved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Decision Support with Data-analysis Methods in a Nuclear Power Plant

Early fault detection is an important issue in nuclear industry. Methods based on self‐organizing map (SOM) in dynamic systems are discussed and developed to help operators and plant experts in their decision making and used together with other methods. Visualization issues are in an important role in this research. Prototype systems are built to be able to...

متن کامل

Developing A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults

Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) ser...

متن کامل

Neural methods in process monitoring, visualization and early fault detection

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Miki Sirola Name of the publication Neural methods in process monitoring, visualization and early fault detection Publisher School of Science Unit Department of Information and Computer Science Series Aalto University publication series SCIENCE + TECHNOLOGY 7/2014 Field of research Abstract This technical report is based on fi...

متن کامل

An Unknown Input Observer for Fault Detection Based on Sliding Mode Observer in Electrical Steering Assist Systems

Steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. Moreover, it is an interface between the diver and vehicle. Fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. This paper addresses the fault detection and reconstruction in automotive elect...

متن کامل

Robust Model- Based Fault Detection and Isolation for V47/660kW Wind Turbine

In this paper, in order to increase the efficiency, to reduce the cost and to prevent the failures of wind turbines, which lead to an extensive break down, a robust fault diagnosis system is proposed for V47/660kW wind turbine operated in Manjil wind farm, Gilan province, Iran. According to the acquired data from Iran wind turbine industry, common faults of the wind turbine such as sensor fault...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009