Research on Reactor Condition Evaluation Method Based on Acoustic Vibration Characteristic Parameters and Weight Factors

Peng-Fei Jia,Shu-Guo Gao,Yang Yang,Xing-Hui Zhang,Li-Hua Li,Ling-Ming Meng,F Gunzer

doi:10.1051/e3sconf/202124302003

Abstract

Compared with the traditional reactor abnormal state detection method, the acoustic vibration detection method combines the advantages of acoustic detection and vibration detection, which has the advantages of simple installation, strong portability and good signal integrity, and has a broad application prospect. In this paper, the characteristic parameters of reactor acoustic vibration, including sound pressure level, sound power level, acoustic signal spectrum, vibration amplitude, vibration acceleration value, vibration signal spectrum, harmonic proportion and frequency complexity, are obtained to analyze the range and distribution rule of each characteristic parameter under long-term operation condition of reactor, and the weight factor of each characteristic parameter is determined by analytic hierarchy process On the basis of fuzzy reasoning, the state evaluation model of reactor is established.

Highlights

The acoustic vibration measurement of the reactor in operation can detect many abnormal states that do not endanger the insulation and do not cause changes in electrical quantities, such as internal and external parts loosening[1]
Compared with the traditional reactor abnormal state detection method, acoustic vibration signal detection method has its own advantages in various aspects of application[4]
Compared with the partial discharge detection method, acoustic vibration detection method can detect the mechanical fault which does not cause the change of electrical signal

Summary

Introduction

The acoustic vibration measurement of the reactor in operation can detect many abnormal states that do not endanger the insulation and do not cause changes in electrical quantities, such as internal and external parts loosening[1]. 3 State evaluation method based on acoustic vibration characteristic parameters and weight factors

Results

Conclusion