A Performance Degradation Evaluation Method of Turbine Engine Based on Stacked Denoising Autoencoder

A turbine engine and self-encoder technology, applied in gas turbine engine testing, jet engine testing, etc., can solve the problems of lack of generality, lack of consistent standards, time-consuming training label selection, etc., to improve time correlation, avoid interference, The effect of reducing the involvement of human and expert experience
CN109000930BActive Publication Date: 2020-06-16HARBIN INST OF TECH

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN INST OF TECH
Publication Date
2020-06-16

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a turbine engine performance degradation evaluation method based on a stacked-denoising auto-encoder, and belongs to the technical field of engine performance degradation evaluation. The turbine engine performance degradation evaluation method solves the problems that traditional multi-sensor data selection needs to rely on complex information evaluation criteria, extraction of degraded features in HI construction depends on a large number of signal processing techniques and expert experience, supervised training method label selection relies on manual participation, and a method is low in universality. Four denoising auto-encoders build stacked-denoising auto-encoders to extract the single node value of input data. Training set data carries out pre-training to thenetwork and uses a BP algorithm to fine-tune parameters. The extracted single node value is considered to be the health factor value at each cycle, and an HI curve of a training set is established. The test set is input to the trained stacked-denoising auto-encoder to obtain the health factor value at each cycle and construction an HI curve. The HI curves of training set and test set are subjectedto smoothing processing respectively, and the HI curves after smoothing processing are evaluated.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of engine performance degradation evaluation, and in particular relates to a method for evaluating turbine engine performance degradation based on a stacked denoising self-encoder. Background technique

[0002] As one of the commonly used and important aircraft components, the turbine engine is of great practical significance to ensure its reliable operation for the stable operation of the aircraft and the reduction of maintenance costs. The health factor of a turbine engine, as a characteristic quantity to evaluate its health level, can represent the degradation state or degree of engine health level. It is obtained by mapping different degradation performance variables during operation. The constructed health factor curve characterizes the engine performance degradation process as a monotonous upward or downward trend. By predicting whether the change of the health factor curve reaches the degradation fail...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More