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Water turbine running state identification method

A technology of operating state and recognition method, applied in character and pattern recognition, computer parts, instruments, etc., can solve nonlinear and unstable problems

Active Publication Date: 2020-06-09
HARBIN UNIV OF SCI & TECH
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Problems solved by technology

At the same time, due to the particularity and complexity of the hydraulic turbine system, its vibration signal is nonlinear and unstable compared with other transmission mechanisms

Method used

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  • Water turbine running state identification method
  • Water turbine running state identification method
  • Water turbine running state identification method

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Experimental program
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specific Embodiment approach 1

[0101] Specific implementation mode one: In this implementation mode, the operating state of the water turbine is identified according to the following steps:

[0102] 1. The operating pulsation signal of the hydraulic turbine is decomposed by mirror image continuation method for empirical mode;

[0103] 2. Use the Hilbert-Huang transformation algorithm of the three-time Hermite interpolation method to obtain the magnitude and change trend of the impact force (energy) received by the pressure measuring point when the turbine is running;

[0104]3. Correlation analysis between turbine working condition parameters and pressure pulsation signal:

[0105]

[0106] In the formula, δ i,j is the degree of influence of the jth working condition parameter of the hydraulic turbine on the ith pressure fluctuation signal, I i,j is the mutual information between the i-th pressure pulsation signal of the turbine and the j-th working condition parameter;

[0107] 4. The pulsation signa...

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Abstract

The invention discloses a water turbine running state identification method, and relates to a water turbine running state identification method. An existing method is improved, and the accuracy of theidentification result is higher than that of a traditional method. The method comprises the steps of 1, performing empirical mode decomposition on a water turbine operation pulsation signal through adoption of a mirror image continuation method; 2, acquiring the magnitude and change trend of the impact force applied to the pressure measuring point during the operation of the water turbine by adopting a Hilbert-Huang transform algorithm of a cubic Hermite interpolation method; 3, analyzing the correlation between the working condition parameters of the water turbine and the pressure pulsationsignals; 4, training the water turbine pulsation signals through a three-layer wavelet neural network, and predicting the vibration trend of the water turbine; and 5, optimizing the probabilistic neural network by a fruit fly algorithm. The running state of the water turbine can be remotely monitored in real time, faults can be found conveniently, diagnosis and maintenance are conducted in time, the network prediction time is only 0.336372 s, running faults can be monitored in real time, and important guiding significance is achieved for practical engineering application.

Description

technical field [0001] The invention relates to a method for identifying the running state of a water turbine. Background technique [0002] Turbine pressure pulsation is an inevitable phenomenon in the operation of hydroelectric units. It will cause vibration and noise, output swing and blade cracks of hydroelectric units, and is one of the main factors affecting the safe and stable operation of the unit. Therefore, in order to improve the safe and stable operation of hydroelectric units, it is of great significance to monitor and diagnose the condition of hydraulic turbine pressure fluctuations. [0003] Turbine pressure pulsation state recognition is used for pattern classification and fault diagnosis, but it is more difficult than general fault diagnosis. The main reasons are as follows: (1) In actual engineering, the operating conditions of the turbine are relatively harsh. At the same time, due to the particularity and complexity of the hydraulic turbine system, its ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/00G06N3/04
CPCG06N3/006G06N3/045G06F2218/06G06F2218/08G06F2218/12G06F18/214Y02E10/20
Inventor 兰朝凤李水静苏崎木陈小艳郭思诚
Owner HARBIN UNIV OF SCI & TECH
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