Hydraulic turbine set fault diagnosis method based on SDAE-IELM

Abstract

The invention discloses a hydraulic turbine set fault diagnosis method based on SDAE-IELM. The method comprises the following steps: employing a complete set empirical mode decomposition algorithm CEEMDAN with adaptive noise addition to decompose a hydraulic turbine set vibration signal, and obtaining an intrinsic mode function (IMF) part reflecting the local time scale features of the signal; dividing a time-frequency matrix formed by the IMF parts according to time periods and calculating energy values of all segments, thereby converting the time-frequency matrix into an energy matrix; performing feature extraction on the energy matrix by adopting SDAE; iELM is adopted to realize classification of known fault types and detection of unknown fault types. After the unit breaks down, judgment can be made quickly and accurately, the shutdown maintenance time can be shortened, the working intensity of operation and maintenance personnel is relieved, and the working efficiency is improved.

Description

【Technical field】 [0001] The invention belongs to the technical field of diagnosis of hydraulic turbines, and specifically refers to a fault diagnosis method for hydraulic turbines based on SDAE-IELM. 【Background technique】 [0002] In recent years, with the continuous growth of energy demand, the scale of hydropower development has been increasing, and the number of small and medium-sized hydropower units has also gradually increased. Small hydropower stations are usually arranged in remote areas, and hydropower units often operate in harsh environments and are prone to failure. The abnormal vibration of the hydroelectric unit is one of the reasons for the decrease of the generation efficiency of the unit and the increase of the production cost. Abnormal vibration will affect the normal operation of the equipment if it is light, and cause the power output to drop below the optimal level, resulting in economic losses; if it is severe, it may cause damage to the equipment an...

AI Technical Summary

Problems solved by technology

Small hydropower stations are usually arranged in remote areas, and hydropower units often operate in harsh environments and are prone to failure

The abnormal vibration of the hydroelectric unit is one of the reasons for the decrease of the generation efficiency of the unit and the increase of production cost

Abnormal vibration will affect the normal operation of the equipment if it is light, and cause the power output to drop below the optimal level, resulting in economic losses; if it is severe, it may cause damage to the equipment and the unit will stop

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