Author(s): Chen Qijuan; Chen Tiehua

Linked Author(s):

Keywords: Hydroelectric generating set; Vibration; Diagnosis; Membership; Fuzzy clustering

Abstract: The implementation of the hydroelectric equipment condition monitoring and diagnosing system is gradually processing from the theory study towards practical exploitation, and into a further practice in hydropower stations. Generally this work is beginning with vibration monitoring and analysis of hydroelectric generating set (sometimes called unit). However, the unit has a combined influence from water, machine, electricity and many other factors. The causes resulted in vibration are complicated. Here, the membership concept of fuzzy mathematics is employed to identify possible existence of specific faults linked to vibration characteristics of hydroelectric generating set. Dynamic fuzzy clustering is applied to analyze the vibration causes. The fuzzy dynamic ISODATA (Iterative self-Organizing Data Analysis Technique A) algorithm is also introduced to diagnose the unit vibration faults. It is feasible and has a degree of reliability. In which a fuzzy relationship matrix, corresponding symptom matrix and related fault matrix can be constructed based on each unit's structure and design parameters. They are realized by changing the columns and row of matrix. It shows by a real example that calculation results are in good agreement with actual inspection records. It is considered that this method has good prospects for future use.

DOI:

Year: 2001