Fault diagnosis method for electric actuator of gas turbine

An electric actuator and fault diagnosis technology, which is applied in the direction of instruments, electrical digital data processing, special data processing applications, etc., can solve problems such as endangering the life of system equipment and greater system threats, and achieve improved fault identification efficiency and accuracy , the effect of reducing the time step

Pending Publication Date: 2022-03-08
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] At present, the common faults of electric actuators include gradual faults, minor faults, sudden faults, etc. Most of the faults of mechanical equipment are gradual faults, and this type of fault is a great threat to the system due to its concealment. If it is not found in time , it will lead to a vicious circle and endanger the life of the system equipment

Method used

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  • Fault diagnosis method for electric actuator of gas turbine
  • Fault diagnosis method for electric actuator of gas turbine
  • Fault diagnosis method for electric actuator of gas turbine

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Embodiment Construction

[0036] The present invention proposes a fault diagnosis method for an electric actuator of a gas turbine, and the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0037] figure 1 It is a flowchart of a gas turbine electric actuator fault diagnosis method provided by the present invention. like figure 1 As shown, the gas turbine electric actuator fault diagnosis method includes the following steps:

[0038] Step 1: Use the sensor to collect flow signal samples under various operating conditions (variable load, variable speed, variable opening) as a data set. The number of flow signal samples in each operating state is 500, including 300 Training samples, 200 test samples, a total of 10 failure modes are detected, and standardized preprocessing is performed on the obtained flow signal samples;

[0039] Step 2: Use the Gaussian Mixture Model (GMM) to identify the working conditions of all the data, perf...

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Abstract

The invention discloses a fault diagnosis method for an electric actuator of a gas turbine, and belongs to the technical field of fault diagnosis of gas turbines. Comprising the following steps: step 1, carrying out standardized preprocessing on an acquired flow signal sample; 2, working condition identification and preliminary clustering are carried out on the data set in the step 1, and then a Gaussian probability density function model is trained; 3, constructing a self-learning network model, training the self-learning network model, extracting data features of the traffic signal samples, and storing network weights of the self-learning network model; 4, constructing a state classification and recognition network model of the electric actuator, and loading network weight parameters; and 5, carrying out fine adjustment on the network weight of the GMM-1DCNN of the electric actuator. The method has strong advantages in the aspects of diagnosis precision and diagnosis efficiency, and avoids the defects of large data processing workload, difficulty in effective feature extraction and the like caused by direct data processing.

Description

technical field [0001] The invention relates to the technical field of gas turbine fault diagnosis, in particular to a fault diagnosis method for an electric actuator of a gas turbine. Background technique [0002] A gas turbine is an efficient and complex power mechanical device. As an internal combustion engine, it mainly generates heat energy through air-fuel mixed combustion, and the turbine converts heat energy into mechanical energy to generate power. Gas turbines have a wide range of uses, and are used in many fields such as ship power, aerospace, energy generation, and vehicle manufacturing, and have become the core of industrial technology in the 21st century. [0003] Gas turbine is a highly nonlinear integrated complex system engineering, and the actuator in its control system is the key functional system to ensure its stable performance and reliable operation. [0004] At present, the common faults of electric actuators include gradual faults, minor faults, sudd...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/27G06F119/02
CPCG06F30/17G06F30/27G06F2119/02
Inventor 孙建平周正张文广牛玉广
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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