Du, S.; Han, W.; Shi, Z.; Liao, Y.; Li, Z. An Aero-Engine Classification Method Based on Fourier Transform Infrared Spectrometer Spectral Feature Vectors. Electronics2024, 13, 915.
Du, S.; Han, W.; Shi, Z.; Liao, Y.; Li, Z. An Aero-Engine Classification Method Based on Fourier Transform Infrared Spectrometer Spectral Feature Vectors. Electronics 2024, 13, 915.
Du, S.; Han, W.; Shi, Z.; Liao, Y.; Li, Z. An Aero-Engine Classification Method Based on Fourier Transform Infrared Spectrometer Spectral Feature Vectors. Electronics2024, 13, 915.
Du, S.; Han, W.; Shi, Z.; Liao, Y.; Li, Z. An Aero-Engine Classification Method Based on Fourier Transform Infrared Spectrometer Spectral Feature Vectors. Electronics 2024, 13, 915.
Abstract
Aiming at the classification identification problem of aeroengines, this paper adopts telemetry Fourier Transform Infrared Spectrometer to collect aeroengine hot jet infrared spectrum data, and proposes an aeroengine classification identification method based on spectral feature vectors. First, aeroengine hot jet infrared spectrum data are acquired and measured, meanwhile, the spectral feature vectors based on CO2 are constructed. Then, the feature vectors are combined with the seven mainstream classification algorithms to complete the training and prediction of the classification model. In the experiment, two Fourier transform infrared spectrometers, EM27 developed by Bruker and a self-developed telemetry FTIR, were used to telemeter the hot jet of three aeroengines to obtain infrared spectral data. The training data set and test data set were randomly divided in a ratio of 3:1. The model training of the training data set and the label prediction of the test data set were carried out by combining spectral feature vectors and classification algorithms. The classification evaluation indicators were accuracy, precision, recall, confusion matrix, and F1-score. The classification recognition accuracy of the algorithm was approximately 98%. This paper has great significance for the fault diagnosis of aeroengines and classification recognition of aircrafts.
Keywords
Infrared spectroscopic detection; Spectral feature vectors; Aeroengine hot jet; FTIR
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
