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To Diagnose a Slight and Incipient Fault in a Power Plant Thermal System Based on Symptom Zoom Technology and Fuzzy Pattern Recognition Method

  • Liangyu Ma
  • Jin Ma
  • Yongguang Ma
  • Bingshu Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)

Abstract

To diagnose a slight and incipient fault in a power plant thermal system correctly and timely, a new fault recognition approach is put forward by using fault symptom zoom technology(SZT) and fuzzy pattern recognition method. By studying the rules of the faults pertinent to energy and mass balance in a power plant thermal system, a new fault symptom preprocessing method, which is called “fault symptom zoom technology”, is put forward to preprocess the fault characteristic parameters. The complexity of the thermal system fault knowledge library can be effectively reduced and the slight fault recognition ability can be greatly enhanced with SZT. The fault fuzzy pattern recognition method is introduced. A new general-purpose fuzzy recognition function is given, which can fit for various kinds of fault symptoms and is with favorable fault classifying ability. Some examples for incipient and slight fault diagnosis for a power plant thermal system are given to verify the effectiveness of the method.

Keywords

Fault Diagnosis Membership Grade Zoom Factor Incipient Fault Fault Diagnosis Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Liangyu Ma
    • 1
  • Jin Ma
    • 1
  • Yongguang Ma
    • 1
  • Bingshu Wang
    • 1
  1. 1.School of Control Science and EngineeringNorth China Electric Power UniversityBaodingChina

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